{"id":20,"date":"2012-04-09T12:19:10","date_gmt":"2012-04-09T03:19:10","guid":{"rendered":"http:\/\/www.img.cs.tut.ac.jp\/wordpress\/?page_id=20"},"modified":"2025-09-05T13:44:45","modified_gmt":"2025-09-05T04:44:45","slug":"papers","status":"publish","type":"page","link":"https:\/\/www.img.cs.tut.ac.jp\/wordpress\/?page_id=20","title":{"rendered":"Publications"},"content":{"rendered":"\n
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\u767a\u8868\u4e00\u89a7\u3067\u3059\u3002<\/h2>\n

2025\u5e74\u5ea6<\/span><\/h2>\n
    \n
  • \u5c0f\u65e5\u5411 \u6176\u4eba\uff0c\u91d1\u6fa4 \u9756\uff0c\u30b9\u30b1\u30fc\u30eb\u3084\u7bc4\u56f2\u306e\u7570\u306a\u308b\u5e73\u9762\u72b63D\u70b9\u7fa4\u9593\u306e\u4f4d\u7f6e\u5408\u308f\u305b\u306e\u9ad8\u901f\u5316\u3068\u9ad8\u7cbe\u5ea6\u5316\uff0c\u7b2c28\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2025)\uff0c\u4eac\u90fd\u56fd\u969b\u4f1a\u9928\uff0c2025\/7\/26-8\/1\uff0cIS2-008\uff0e\n<\/li>\n
  • \u4f50\u85e4 \u4f51\u8ecc\uff0c\u91d1\u6fa4 \u9756\uff0c\u67ff\u5703\u5834\u306b\u304a\u3051\u308b\u30c9\u30ed\u30fc\u30f3\u306e\u53ef\u8996\u30ab\u30e1\u30e9\u753b\u50cf\u304b\u3089\u306e\u8fd1\u8d64\u5916\u753b\u50cf\u304a\u3088\u3073\u30ec\u30c3\u30c9\u30a8\u30c3\u30b8\u753b\u50cf\u306e\u63a8\u5b9a\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u5b87\u5b99\u30fb\u822a\u884c\u30a8\u30ec\u30af\u30c8\u30ed\u30cb\u30af\u30b9\u7814\u7a76\u4f1a (SANE)\uff0c\u51fd\u9928\u30a2\u30ea\u30fc\u30ca\uff0c2025\/7\/23-25\uff0cSANE2025-30.\n<\/li>\n<\/ul>\n\n

    2024\u5e74\u5ea6<\/span><\/h2>\n
      \n
    • \u897f\u6751 \u611b\u83dc\uff0c\u91d1\u6fa4 \u9756\uff0c\u8907\u6570\u306e\u53cc\u5cf0\u6027\u30ce\u30a4\u30ba\u5206\u5e03\u3092\u7528\u3044\u305f\u4e8c\u8272\u899a\u8005\u306e\u305f\u3081\u306e\u9069\u5fdc\u7684\u306a\u753b\u50cf\u5f37\u8abf\u6cd5\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u5229\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72025 (DIA2025)\uff0c\u304d\u3089\u3081\u304d\u307f\u306a\u3068\u9928\uff0f\u6566\u8cc0\u5e02\u6c11\u6587\u5316\u30bb\u30f3\u30bf\u30fc\uff0c2025\/3\/5-6\uff0cIS1-10, pp.86-93.\n<\/li>\n
    • \u5712\u7530 \u6f64\uff0c\u6e21\u9089 \u5b66\uff0c\u7c73\u6fa4 \u5343\u590f\uff0c\u91d1\u6fa4 \u9756\uff0c\u5730\u4e2d\u30ec\u30fc\u30c0\u3068\u822a\u7a7a\u6a5f\u642d\u8f09\u5408\u6210\u958b\u53e3\u30ec\u30fc\u30c0\u3092 \u7528\u3044\u305f\u5927\u898f\u6a21\u81ea\u7136\u707d\u5bb3\u306e\u884c\u65b9\u4e0d\u660e\u8005\u635c\u7d22\u624b\u6cd5\uff0cAI\u30fb\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u8ad6\u6587\u96c6, vol. 5, no. 3, pp.834-841, Nov. 2024.\n<\/li>\n
    • Yasushi Kanazawa, Disaster Resilience using Computer Vision, The 4th International Interdisciplinary Conference on Environmental Sciences and Sustainable Developments (IICESSD 2024), keynote, Best Western Hotel, Palu, Indonesia, 2024\/11\/14.\n<\/li>\n
    • Yasushi Kanazawa, Drone Sensing for AgriTech using Computer Vision, The 3rd International Conference on Science in Engineering and Technology 2024 (ICOSiET 2024), on-line, keynote, Best Western Hotel, Palu, Indonesia, 2024\/10\/24.\n<\/li> \n
    • \u67f3\u8c37 \u60a0\u7fbd\uff0c\u91d1\u6fa4 \u9756\uff0c\u30ea\u30ae\u30f3\u30b0\u306e\u305f\u3081\u306e\u8907\u6570\u753b\u50cf\u304b\u3089\u306e\u95a2\u7bc0\u306e3\u6b21\u5143\u4f4d\u7f6e\u306e\u63a8\u5b9a\uff0cVisual Computing 2024\uff0c\u6771\u6d0b\u5927\u5b66\u8d64\u7fbd\u53f0\u30ad\u30e3\u30f3\u30d1\u30b9 \u60c5\u5831\u9023\u643a\u5b66\u90e8 INIAD HUB-1\uff0c2024\/9\/10-12\uff0cP6\uff0e\n<\/li>\n
    • Lauri Klemettinen, Yuki Sato, Yasushi Kanazawa, Jun Sonoda, Interpolation of Ground Penetrating Radar Images using Deep Latent Variable Models, \u7b2c27\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2024)\uff0c\u718a\u672c\u57ce\u30db\u30fc\u30eb\uff0c2024\/8\/6-9\uff0cIS3-078\uff0e\n<\/li>\n
    • \u4e95\u4f0a \u745e\u59eb\uff0c\u91d1\u6fa4 \u9756\uff0c\u81ea\u52d5\u8ffd\u5c3e\u30b9\u30dd\u30c3\u30c8\u30e9\u30a4\u30c8\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u9023\u643a\u884c\u52d5\u306b\u3088\u308b\u65b0\u90ce\u65b0\u8b5c\u306e\u8ffd\u8de1\uff0c\u7b2c27\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2024)\uff0c\u718a\u672c\u57ce\u30db\u30fc\u30eb\uff0c2024\/8\/6-9\uff0cIS1-101\uff0e\n<\/li>\n<\/ul>\n\n

      2023\u5e74\u5ea6<\/span><\/h2>\n
        \n
      • \u6c38\u7530 \u9752\u9ce5\uff0c\u91d1\u6fa4 \u9756\uff0c\u652f\u914d\u7684\u5e73\u9762\u306b\u57fa\u3065\u304f\u7bc4\u56f2\u304a\u3088\u3073\u30b9\u30b1\u30fc\u30eb\u306e\u7570\u306a\u308b\u70b9\u7fa4\u9593\u306e\u30de\u30c3\u30c1\u30f3\u30b0\u3068\u90e8\u5206\u7684\u5909\u5316\u306e\u691c\u51fa\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u5229\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72024 (DIA2024),\u5225\u5e9c\u56fd\u969b\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc\uff0c2024\/3\/4-5\uff0cIS3-24\uff0cpp.505-512.\n<\/li>\n
      • \u6c38\u7530 \u9752\u9ce5\uff0c\u4eca\u4e95\u88d5\u592a\u90ce\uff0c\u91d1\u6fa4 \u9756\uff0c\u652f\u914d\u7684\u5e73\u9762\u3092\u7528\u3044\u305f\u30b9\u30b1\u30fc\u30eb\u306e\u7570\u306a\u308b\u70b9\u7fa4\u306e\u4f4d\u7f6e\u5408\u308f\u305b\uff0c\u7cbe\u5bc6\u5de5\u5b66\u4f1a\u8a8c\uff0c90\u5dfb\uff0c2\u53f7\uff0cpp.245-252\uff0cFeb., 2024.\n<\/li>\n
      • \u4f50\u85e4 \u4f51\u8ecc\uff0c\u91d1\u6fa4 \u9756\uff0cUAV\u753b\u50cf\u304b\u3089\u306e\u67ff\u679c\u5b9f\u306e\u691c\u51fa\u3068\u76f8\u5bfe\u7cd6\u5ea6\u63a8\u5b9a\uff0c\u4ee4\u548c5\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\uff0cD-4-3\uff0cAug., 2023.\n
      • Killian Duay, Yasushi Kanazawa,eSport video analysis using generative adversarial network and Convolutional Neural Network, The 29th Symposium on Sensing via Image Information (SSII2023), Pacifico Yokohama, IS1-11, June, 2023.\n<\/li>\n
      • Andi Hendra, Yasushi Kanazawa,TP-GAN: Simple Adversarial Network With Additional Player for Dense Depth Image Estimation, IEEE Access, vol.11, pp.44176-44191, 2023.\n<\/li>\n<\/ul>\n

        2022\u5e74\u5ea6<\/span><\/h2>\n
          \n
        • \u5712\u7530 \u6f64\uff0c\u7b95\u8f2a \u77ad\uff0c\u91d1\u6fa4 \u9756\uff0c\u6728\u672c\u667a\u5e78\uff0c\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308bUAV\u753b\u50cf\u304b\u3089\u306e\u6d77\u5cb8\u6f02\u7740\u7269\u306e\u5206\u5e03\u5b9a\u91cf\u5316\uff0c2023\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u829d\u6d66\u5de5\u696d\u5927\u5b66\uff08\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\uff09\uff0c2023\/3\/7-10\uff0cB-2-9\uff0e<\/li>\n
        • \u6c38\u7530\u9752\u9ce5\uff0c\u91d1\u6fa4 \u9756\uff0c\u652f\u914d\u7684\u5e73\u9762\u3092\u7528\u3044\u305f\u30b9\u30b1\u30fc\u30eb\u306e\u7570\u306a\u308b\u70b9\u7fa4\u3067\u306e\u4f4d\u7f6e\u5408\u308f\u305b\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u5229\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023 (DIA2023)\uff0c\u30e9\u30a4\u30c8\u30ad\u30e5\u30fc\u30d6\u5b87\u90fd\u5bae\uff0c2023\/3\/2\u301c3\uff0cOS3-03\uff0cpp.346-352\uff0e<\/li>\n
        • \u5c0f\u51fa \u4f51\uff0c\u82a6\u7530\u548c\u6bc5\uff0c\u91d1\u6fa4 \u9756\uff0c\u679c\u5b9f\u306e\u8fd1\u8d64\u5916\u6ce2\u9577\u57df\u306b\u304a\u3051\u308b\u53cd\u5c04\u5149\u306e\u7279\u6027\u3092\u7528\u3044\u305f\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u306a\u7cd6\u5ea6\u8a08\u958b\u767a\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c85\u56de\u5168\u56fd\u5927\u4f1a\uff0c4J-02\uff0c\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff0b\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2023\/3\/2-4\uff0e<\/li>\n
        • \u5c71\u672c\u4f73\u58eb\uff0c\u5149\u8c37\u548c\u525b\uff0c\u91d1\u6fa4 \u9756\uff0c\u5fb3\u91cd\u6d77\u90fd\uff0c\u5712\u7530 \u6f64\uff0c\u6728\u672c\u667a\u5e78\uff0c\u6e963\u6b21\u5143\u60c5\u5831\u3092\u7528\u3044\u305fpix2pix\u306b\u3088\u308b\u30ec\u30fc\u30c0\u753b\u50cf\u304b\u3089\u306e\u5185\u90e8\u6b20\u9665\u306e\u5e7e\u4f55\u60c5\u5831\u63a8\u5b9a\uff0c\u571f\u6728\u5b66\u4f1a \u69cb\u9020\u5de5\u5b66\u59d4\u54e1\u4f1a\uff0cAI\u30fb\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u8ad6\u6587\u96c6\uff0c3\u5dfb\uff0cJ2\u53f7\uff0cp.1042-1052\uff0cNov. 2022.<\/li>\n
        • \u5fb3\u91cd\u6d77\u90fd\uff0c\u91d1\u6fa4 \u9756\uff0c\u5712\u7530 \u6f64\uff0c\u6728\u672c\u667a\u5e78\uff0c\u5730\u4e2d\u30ec\u30fc\u30c0\u753b\u50cf\u306e\u88dc\u9593\u3092\u7528\u3044\u305f\u5730\u4e2d\u7269\u4f53\u8a8d\u8b58\uff0c2022\u5e74\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff0c2P5-GS-10-03\uff0c\u4eac\u90fd\u56fd\u969b\u4f1a\u9928\uff0b\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\/6\/14-17.<\/li>\n
        • \u5c71\u672c\u4f73\u58eb, \u5149\u8c37\u548c\u525b, \u91d1\u6fa4 \u9756, \u5fb3\u91cd\u6d77\u90fd, \u5712\u7530 \u6f64, \u6728\u672c\u667a\u5e78\uff0c\u6e963\u6b21\u5143\u60c5\u5831\u3092\u7528\u3044\u305f\u30ec\u30fc\u30c0\u753b\u50cf\u304a\u3088\u3073GAN\u306b\u3088\u308b\u30b3\u30f3\u30af\u30ea\u30fc\u30c8\u5185\u90e8\u306e\u3072\u3073\u5272\u308c\u53ef\u8996\u5316\uff0c1F4-GS-10-01\uff0c\u4eac\u90fd\u56fd\u969b\u4f1a\u9928\uff0b\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2022\/6\/14-16.<\/li>\n<\/ul>\n

          2021\u5e74\u5ea6<\/span><\/h2>\n
            \n
          • \u5712\u7530 \u6f64\uff0c\u91d1\u6fa4 \u9756\uff0c\u6728\u672c\u667a\u5e78\uff0c\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308bUAV\u753b\u50cf\u304b\u3089\u306e\u6d77\u5cb8\u6f02\u7740\u7269\u691c\u51fa\u3068\u5e83\u7bc4\u56f2\u9577\u671f\u89b3\u6e2c\uff0c2022\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0cB-2-14\uff0c2022\/3\/15-18.<\/li>\n
          • \u5712\u7530 \u6f64\uff0c\u6728\u672c\u667a\u5e78\uff0c\u5c71\u672c\u4f73\u58eb\uff0c\u91d1\u6fa4 \u9756\uff0c\u5730\u4e2d\u30ec\u30fc\u30c0\u306b\u3088\u308b\u7a7a\u6d1e\u4e80\u88c2\u691c\u51fa\u306e\u305f\u3081\u306e\u88dc\u4fee\u9020\u5f71\u5264\u306eFDTD\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u691c\u8a0e\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aEST\u7814\u7a76\u4f1a\uff0cEST2021-77\uff0c2022\/1\/27\uff0e<\/li>\n
          • Andi Hendra, Yasushi Kanazawa, Smaller Residual Network for Single Image Depth Estimation, IEICE Transactions, Vol. E104-D, No. 11, pp.1992-2001, Nov. 2021.<\/li>\n
          • \u5712\u7530 \u6f64\uff0c\u5c71\u672c\u4f73\u58eb\uff0c\u6728\u672c\u667a\u5e78\uff0c\u91d1\u6fa4 \u9756\uff0cFDTD\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u96fb\u78c1\u6ce2\u30ec\u30fc\u30c0\u753b\u50cf\u306e\u30b3\u30f3\u30af\u30ea\u30fc\u30c8\u4e80\u88c2\u63a8\u5b9a<\/span>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\uff0cB-2-18\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/9\/14-17.<\/li>\n
          • Andi Hendra, Yasushi Kanazawa, Accuracy improvement of depth estimation from single image using 3rd player in GAN, The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2021), Yumehall Shiretoko, Shiretoko (SHari), Hokkaido, Japan, September 8-11, 2021, oral.<\/li>\n<\/ul>\n

            2020\u5e74\u5ea6<\/span><\/h2>\n
              \n
            • \u7530\u4e2d\u88d5\u4e5f\uff0c\u7fbd\u7530\u91ce\u4f51\u54c9\uff0c\u91d1\u6fa4 \u9756\uff0c\u4f50\u91ce\u5b99\u4eba\uff0c\u677e\u6ca2 \u822a\uff0c\u5ca1 \u82f1\u7537\uff0c\u8907\u6570\u30b9\u30b1\u30fc\u30ebCSI\u3092\u7528\u3044\u305f\u305b\u3093\u5984\u304a\u3088\u3073\u305d\u306e\u5146\u5019\u306e\u691c\u51fa\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aMI\u7814\u7a76\u4f1a\uff0cvol. 120, no. 431, MI2020-8\uff0cpp.166-171\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/3\/15-17\uff0e<\/li>\n
            • \u5712\u7530 \u6f64\uff0c\u91d1\u6fa4 \u9756\uff0c\u6c34\u539f\u5b9d\u82f1\uff0c\u6728\u672c\u667a\u5e78\uff0c\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u6d77\u5cb8\u6f02\u7740\u7269\u306e\u8b58\u5225\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0cB-2-34\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/3\/9-12\uff0e<\/li>\n
            • \u5712\u7530 \u6f64\uff0c\u5fb3\u91cd\u6d77\u90fd\uff0c\u91d1\u6fa4 \u9756\uff0c\u571f\u77f3\u6d41\u707d\u5bb3\u73fe\u5834\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u9069\u7528\u3057\u305f3\u6b21\u5143\u5730\u4e2d\u30ec\u30fc\u30c0\u63a2\u67fb\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0cB-2-27\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/3\/9-12\uff0e<\/li>\n
            • \u5927\u95a2\u514b\u5f25\uff0c\u91d1\u6fa4 \u9756\uff0cUAV\u642d\u8f09\u30de\u30eb\u30c1\u30b9\u30da\u30af\u30c8\u30eb\u30ab\u30e1\u30e9\u306b\u3088\u308b\u67ff\u5703\u5834\u306b\u304a\u3051\u308b\u76f8\u5bfe\u7cd6\u5ea6\u306e\u30ea\u30e2\u30fc\u30c8\u63a8\u5b9a\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aPRMU\u7814\u7a76\u4f1a\uff0cPRMU2020-88\uff0cpp.109-114\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/3\/4-5\uff0e<\/li>\n
            • \u5fb3\u91cd\u6d77\u90fd\uff0c\u91d1\u6fa4 \u9756\uff0c\u5712\u7530 \u6f64\uff0c\u5730\u4e2d\u30ec\u30fc\u30c0\u753b\u50cf\u306e\u88dc\u9593\u306e\u305f\u3081\u306e\u88dc\u9593\u4f4d\u7f6e\u6307\u5b9a\u53ef\u80fd\u306aGAN\u306e\u63d0\u6848\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1aSANE\u7814\u7a76\u4f1a\uff0cSANE2020-65\uff0cpp.40-45\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c2021\/2\/18-10\uff0e<\/li>\n
            • Yasushi Kanazawa, 3D reconstruction and pattern recognition methods for the search activity of missing persons and lost items by tsunami, keynote 1,  2020 6th International Conference on Science in Information Technology (ICSITech), October 21-22, 2020, Palu, Indonesia.<\/li>\n
            • \u5fb3\u91cd\u6d77\u90fd\uff0c\u91d1\u6fa4 \u9756\uff0c\u5712\u7530 \u6f64\uff0c\u5c71\u672c\u4f73\u4eba\uff0c\u5149\u8c37\u548c\u525b\uff0cGAN\u3092\u7528\u3044\u305f\u5730\u4e2d\u30ec\u30fc\u30c0\u753b\u50cf\u306e\u88dc\u9593\u306b\u3088\u308b\u5730\u4e2d\u60c5\u5831\u306e3D\u53ef\u8996\u5316\uff0c2020\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c34\u56de)\uff0c2020\/6\/9\u301c12\uff0c\u718a\u672c\u57ce\u30db\u30fc\u30eb\u30fb\u718a\u672c\u5e02\u6c11\u4f1a\u9928(\u718a\u672c\u770c\u718a\u672c\u5e02)\uff0e<\/li>\n<\/ul>\n

              2019\u5e74\u5ea6<\/span><\/h2>\n
                \n
              • \u5fb3\u91cd\u6d77\u90fd\uff0c\u91d1\u6fa4 \u9756\uff0c\u5712\u7530 \u6f64\uff0c\u5c71\u672c\u4f73\u4eba\uff0c\u5149\u8c37\u548c\u525b\uff0c\u5730\u4e2d\u30ec\u30fc\u30c0\u753b\u50cf\u306e\u88dc\u9593\u306b\u3088\u308b\u5730\u4e2d\u60c5\u5831\u306e\u5bc6\u306a3\u6b21\u5143\u53ef\u8996\u5316\uff0c2020\u5e74\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff0cB-2-8\uff0c2020\/3\/17\uff0c\u5e83\u5cf6\u5927\u5b66\u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9(\u958b\u50ac\u4e2d\u6b62)\uff0e<\/li>\n
              • \u5927\u95a2\u514b\u5f25\uff0c\u4f50\u85e4 \u5065\uff0c\u91d1\u6fa4 \u9756\uff0c\u5c0f\u6797\u5065\u4e00\uff0cUAV\u3068\u7c21\u6613\u30de\u30eb\u30c1\u30b9\u30da\u30af\u30c8\u30eb\u30ab\u30e1\u30e9\u306b\u3088\u308b\u4f0a\u8c46\u6cbc\u306e\u6c34\u751f\u690d\u7269\u5206\u5e03\u306e\u53ef\u8996\u5316\u306b\u95a2\u3059\u308b\u7814\u7a76\uff0c\u7b2c14\u56de\u4f0a\u8c46\u6cbc\u30fb\u5185\u6cbc\u7814\u7a76\u96c6\u4f1a\uff0c2020\/2\/15\uff0c\u4f0a\u8c46\u6cbc\u30fb\u5185\u6cbc\u30b5\u30f3\u30af\u30c1\u30e5\u30a2\u30ea\u30bb\u30f3\u30bf\u30fc\u7814\u4fee\u5ba4\uff0e<\/li>\n
              • \u5927\u95a2\u514b\u5f25\uff0c\u4f50\u85e4 \u5065\uff0c\u91d1\u6fa4 \u9756\uff0c\u5c0f\u6797\u5065\u4e00\uff0cUAV\u3068\u8fb2\u696d\u7528\u30de\u30eb\u30c1\u30b9\u30da\u30af\u30c8\u30eb\u30ab\u30e1\u30e9\u306b\u3088\u308b\u4f0a\u8c46\u6cbc\u306e\u690d\u751f\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\uff0cOptics&Photonics Japan 2019, 2019\/12\/2-5\uff0c\u5927\u962a\u5927\u5b66\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc\uff0e<\/li>\n
              • Andi Hendora, Yasushi Kanazawa, Depth estimation from a single image using multi stream and scale deep learning, ICAICTA2019, Yogjakarta, Indonesia, 2019\/9\/20-22.<\/li>\n
              • \u5c0f\u6797\u5eb7\u592a\uff0c\u539f\u7530\u7950\u771f\uff0c\u91d1\u6fa4 \u9756\uff0c\u6e05\u9808\u4fca\u7537\uff0c\u81ea\u52d5\u8ffd\u5c3e\u30b9\u30dd\u30c3\u30c8\u30e9\u30a4\u30c8\u30b7\u30b9\u30c6\u30e0\uff0c\u7b2c22\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2019)\uff0c2019\/7\/29\u301c8\/1\uff0c\u30b0\u30e9\u30f3\u30ad\u30e5\u30fc\u30d6\u5927\u962a(\u5927\u962a\u5e9c\u7acb\u56fd\u969b\u4f1a\u8b70\u5834).<\/li>\n
              • \u4e09\u5cf6 \u99ff\u7950\uff0c\u91d1\u6fa4 \u9756\uff0c\u690d\u7269\u306e\u30b9\u30da\u30af\u30c8\u30eb\u53cd\u5c04\u7279\u6027\u3092\u7528\u3044\u305fRGB\u753b\u50cf\u304b\u3089\u306e\u8fd1\u8d64\u5916\u753b\u50cf\u306e\u63a8\u5b9a\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\u7814\u7a76\u4f1a(CVIM), 2019-CVIM-217(37), 2019\/5\/30\u301c31\uff0c\u56fd\u7acb\u30aa\u30ea\u30f3\u30d4\u30c3\u30af\u8a18\u5ff5\u9752\u5c11\u5e74\u7dcf\u5408\u30bb\u30f3\u30bf\u30fc.<\/li>\n<\/ul>\n

                2018\u5e74\u5ea6<\/span><\/h2>\n
                  \n
                • \u539f\u7530\u7950\u771f\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u6e05\u9808\u654f\u7537\uff0c\u81ea\u52d5\u8ffd\u5c3e\u30b9\u30dd\u30c3\u30c8\u30e9\u30a4\u30c8\u306e\u305f\u3081\u306e\u30ed\u30d0\u30b9\u30c8\u306a\u4eba\u7269\u8ffd\u8de1\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u5229\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72019 (DIA2019)\uff0c2019\/3\/7\u301c8\uff0c\u5317\u4e5d\u5dde\u56fd\u969b\u4f1a\u8b70\u5834\uff0e<\/li>\n
                • \u6c34\u539f\u5b9d\u6804\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u30c7\u30a3\u30fc\u30d7\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u7802\u6d5c\u753b\u50cf\u304b\u3089\u306e\u6f02\u7740\u7269\u306e\u691c\u51fa\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u5229\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72019 (DIA2019)\uff0c2019\/3\/7\u301c8\uff0c\u5317\u4e5d\u5dde\u56fd\u969b\u4f1a\u8b70\u5834\uff0e<\/li>\n
                • \u5bae\u7530\u6728\u7e54\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u592a\u7530\u76f4\u54c9\uff0c2\u8272\u899a\u8005\u306e\u305f\u3081\u306e\u30b9\u30de\u30fc\u30c8\u30b0\u30e9\u30b9\u306b\u3088\u308b\u8272\u8b58\u5225\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u798f\u7949\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u4f1a(WIT)\uff0c2018\/6\/9\u301c10\uff0c\u9db4\u898b\u5927\u5b66.<\/li>\n
                • \u5712\u7530\u3000\u6f64\uff0c\u6728\u672c\u667a\u5e78\uff0c\u6a4b\u672c\u745e\u6a39\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u963f\u8607\u5c71\u306b\u304a\u3051\u308b\u5730\u4e2d\u30ec\u30fc\u30c0\u63a2\u67fb\u3068\u706b\u5c71\u7070\u306e\u8907\u7d20\u6bd4\u8a98\u96fb\u7387\u306e\u5468\u6ce2\u6570\u7279\u6027\uff0c\u65e5\u672c\u5730\u7403\u60d1\u661f\u79d1\u5b66\u9023\u54082018\u5e74\u5927\u4f1a\uff08JpGU2018)\uff0c2018\/5\/20\u301c24\uff0c\u5e55\u5f35\u30e1\u30c3\u30bb.<\/li>\n<\/ul>\n

                  2017\u5e74\u5ea6<\/span><\/h2>\n
                    \n
                  • R. Yamada, N. Ohta, Y. Kanazawa, Image modification for color defectives by mapping the position on confusion lines to pixel blinking, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u798f\u7949\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u4f1a(WIT)\uff0c2018\/3\/9\u301c10\uff0c\u7b51\u6ce2\u6280\u8853\u5927\u5b66\u6625\u65e5\u30ad\u30e3\u30f3\u30d1\u30b9.<\/li>\n
                  • \u677e\u6c38\u7adc\u592a\u90ce\uff0c\u6a4b\u672c\u745e\u6a39\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u652f\u914d\u7684\u5e73\u9762\u306e\u60c5\u5831\u3092\u7528\u3044\u305f\u6700\u9069\u88dc\u6b63\u306b\u3088\u308b\u7802\u6d5c\u306e\u5e83\u7bc4\u56f2\u306a3\u6b21\u5143\u5fa9\u5143\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\u7814\u7a76\u4f1a(CVIM)\uff0c2017-CVIM-211(8)\uff0c2018\/3\/1\u301c2\uff0c\u7acb\u547d\u9928\u5927\u5b66 \u3073\u308f\u3053\u30fb\u304f\u3055\u3064\u30ad\u30e3\u30f3\u30d1\u30b9\uff0e<\/li>\n
                  • \u6a4b\u672c\u745e\u6a39\uff0c\u677e\u6c38\u7adc\u592a\u90ce\uff0c\u897f\u5c71\u548c\u7bc4\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u30c9\u30ed\u30fc\u30f3\u6620\u50cf\u304b\u3089\u306e3\u6b21\u5143\u5fa9\u5143\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u5316\u306e\u305f\u3081\u306e\u30ad\u30fc\u30d5\u30ec\u30fc\u30e0\u9078\u629e\u3068\u5f62\u72b6\u5fa9\u5143\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\u7814\u7a76\u4f1a(CVIM)\uff0c2017-CVIM-211(9)\uff0c2018\/3\/1\u301c2\uff0c\u7acb\u547d\u9928\u5927\u5b66 \u3073\u308f\u3053\u30fb\u304f\u3055\u3064\u30ad\u30e3\u30f3\u30d1\u30b9\uff0e<\/li>\n
                  • \u53e4\u5c4b\u3000\u8061\uff0c\u7c73\u6fa4\u5343\u590f\uff0c\u5712\u7530\u3000\u6f64\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u6d77\u5cb8\u306b\u304a\u3051\u308b\u884c\u65b9\u4e0d\u660e\u8005\u304a\u3088\u3073\u907a\u7559\u54c1\u635c\u7d22\u306e\u305f\u3081\u306eGNSS\u53d7\u4fe1\u6a5f\u306e\u7cbe\u5ea6\u8a55\u4fa1\uff0c\u5730\u7406\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u5b66\u4f1a2017\u5e74\u5ea6\u7814\u7a76\u767a\u8868\u5927\u4f1a\uff0c\u5bae\u57ce\u5927\u5b66\u5927\u548c\u30ad\u30e3\u30f3\u30d1\u30b9\uff0c2017\/10\/27\u301c29.<\/li>\n
                  • \u6a4b\u672c\u745e\u6a39\uff0c\u677e\u6c38\u7adc\u592a\u90ce\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u5712\u7530\u3000\u6f64\uff0c\u30c9\u30ed\u30fc\u30f3\u6620\u50cf\u304b\u3089\u306e\u7802\u6d5c\u306a\u3069\u306e\u5f62\u72b6\u306b\u5bfe\u3059\u308b\u9ad8\u7cbe\u5ea6\u306a\u30ea\u30a2\u30eb\u30bf\u30a4\u30e03\u6b21\u5143\u5fa9\u5143\uff0c\u7b2c20\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2017)\uff0c\u30c7\u30e2\u30bb\u30c3\u30b7\u30e7\u30f3\uff0c\u5e83\u5cf6\u56fd\u969b\u4f1a\u8b70\u5834\uff0c\u5e83\u5cf6\uff0c2017\/8\/8\u301c10\uff0e<\/li>\n
                  • \u5712\u7530\u3000\u6f64\uff0c\u4eca\u91ce\u6d77\u822a\uff0c\u6a4b\u672c\u745e\u6a39\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u4f50\u85e4\u6e90\u4e4b\uff0c\u5c4b\u5185\u5916\u30b7\u30fc\u30e0\u30ec\u30b9\u96fb\u6ce2\u74b0\u5883\u89e3\u6790\u306e\u305f\u3081\u306eUAV-SfM\u306b\u3088\u308bFDTD\u5b9f\u74b0\u5883\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u6570\u5024\u30e2\u30c7\u30eb\u69cb\u7bc9\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cB, J100-B, No.9, pp.773-781, Sept, 2017.<\/li>\n<\/ul>\n

                    2016\u5e74\u5ea6<\/span><\/h2>\n
                      \n
                    • \u6c34\u5cf6\u3000\u5065\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u5909\u63db\u3092\u7528\u3044\u305f\u9069\u5fdc\u7684\u306a\u753b\u50cf\u306e\u5bfe\u5fdc\u4ed8\u3051\uff0c\u52d5\u7684\u753b\u50cf\u51e6\u7406\u5b9f\u7528\u5316\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7(DIA2017)\uff0c2017\/3\/9\u301c10\uff0c\u304f\u306b\u3073\u304d\u30e1\u30c3\u30bb\uff0c\u677e\u6c5f\u5e02\uff0e<\/li>\n
                    • \u6e21\u8fba\u62d3\u4e5f\uff0c\u6842\u7530\u6d69\u4e00\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u9854\u753b\u50cf\u306e\u5bfe\u79f03D-AAM\u306b\u3088\u308b\u9854\u65b9\u5411\u975e\u4f9d\u5b58\u306a\u767a\u8a71\u8a8d\u8b58\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3\u7814\u7a76\u4f1a(PRMU)\uff0c2017\/1\/19\u301c20\uff0c\u4eac\u90fd\u5927\u5b66 \u767e\u5468\u5e74\u6642\u8a08\u53f0\u8a18\u5ff5\u9928\uff0c\u4eac\u90fd\uff0e<\/li>\n
                    • T. Watanabe, K. Kouichi, and Y. Kanazawa, Lip Reading from Multi View Facial Images Using 3D-AAM, ACCV Workshop: Multi-view lip-reading\/audio-visual challenges, Nov. 20, 2016, Taipei, Taiwan.<\/li>\n
                    • \u6e21\u8fba\u62d3\u4e5f\uff0c\u6842\u7530\u6d69\u4e00\uff0c\u91d1\u6fa4\u3000\u9756\uff0c3DAAM\u3092\u7528\u3044\u305f\u9854\u65b9\u5411\u975e\u4f9d\u5b58\u306e\u8aad\u5507\u306e\u8a55\u4fa1\uff0c\u7b2c3\u56de\u30b5\u30a4\u30ec\u30f3\u30c8\u97f3\u58f0\u8a8d\u8b58\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7(SSRW2016)\uff0c2016\/10\/14\u301c15\uff0c\u798f\u5ca1\u5e02(\u798f\u5ca1\u671d\u65e5\u30d3\u30eb\u8cb8\u4f1a\u8b70\u5ba4 16\u53f7\u5ba4\u4f1a\u8b70\u5ba4)\uff0e<\/li>\n
                    • R. Matsunaga, M. Hashimoto, Y. Kanazawa, and J. Sonoda, Accurate 3-D reconstruction of sands from UAV image sequence, ICAICTA 2016, Penang, Malaysia, 16-19 Aug. 2016.<\/li>\n
                    • \u6a4b\u672c\u745e\u6a39\uff0c\u677e\u6c38\u7adc\u592a\u90ce\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u30c9\u30ed\u30fc\u30f3\u6620\u50cf\u304b\u3089\u306e\u5e83\u57df\u306a\u5e73\u9762\u4e0a\u5f62\u72b6\u306e\u9ad8\u7cbe\u5ea6\u306a3\u6b21\u5143\u5fa9\u5143\uff0c\u7b2c19\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2016)\uff0c2016\/8\/1\uff5e4\uff0c\u30a2\u30af\u30c8\u30b7\u30c6\u30a3\u6d5c\u677e\uff0c\u6d5c\u677e\uff0e<\/li>\n
                    • \u5e38\u76e4\u52c7\u592a\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u4efb\u610f\u5f62\u72b6\u30b9\u30af\u30ea\u30fc\u30f3\u306b\u5bfe\u3059\u308b\u9069\u5fdc\u7684\u306a\u591a\u9762\u4f53\u8fd1\u4f3c\u306b\u3088\u308b\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\u6295\u5f71\u50cf\u306e\u5e7e\u4f55\u88dc\u6b63\uff0c\u753b\u50cf\u96fb\u5b50\u5b66\u4f1a\u8a8c\uff0cVol.45, No. 3, pp.296-304, Jul. 2016.<\/li>\n
                    • \u5712\u7530\u3000\u6f64\uff0c\u4eca\u91ce\u6d77\u822a\uff0c\u6a4b\u672c\u745e\u6a39\uff0c\u91d1\u6fa4\u3000\u9756\uff0c\u4f50\u85e4\u6e90\u4e4b\uff0c\u5c4b\u5185\u5916\u30b7\u30fc\u30e0\u30ec\u30b9\u96fb\u6ce2\u74b0\u5883\u89e3\u6790\u306e\u305f\u3081\u306eFDTD\u5b9f\u74b0\u5883\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u6570\u5024\u30e2\u30c7\u30eb\u69cb\u7bc9\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\uff0c\u30a8\u30ec\u30af\u30c8\u30ed\u30cb\u30af\u30b9\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a(EST)\uff0c2016\/7\/21\uff5e22\uff0c\u7db2\u8d70\u30aa\u30db\u30fc\u30c4\u30af\u30fb\u6587\u5316\u4ea4\u6d41\u30bb\u30f3\u30bf\u30fc\uff08\u30a8\u30b3\u30fc\u30bb\u30f3\u30bf\u30fc2000\uff09\uff0e<\/li>\n<\/ul>\n

                      2015\u5e74\u5ea6<\/span><\/h2>\n
                        \n
                      • \u5712\u7530 \u6f64\uff0c\u4eca\u91ce\u6d77\u822a\uff0c\u6a4b\u672c\u745e\u6a39\uff0c\u91d1\u6fa4 \u9756\uff0c\u4f50\u85e4\u6e90\u4e4b, \u5c4b\u5185\u5916\u30b7\u30fc\u30e0\u30ec\u30b9\u96fb\u6ce2\u74b0\u5883\u89e3\u6790\u306e\u305f\u3081\u306eSfM\u3084\u6df1\u5ea6\u30bb\u30f3\u30b5\u306b\u3088\u308bFDTD\u5b9f\u74b0\u5883\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u6570\u5024\u30e2\u30c7\u30eb\u69cb\u7bc9, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2016\u5e74\u7dcf\u5408\u5927\u4f1a, BCS-1. \u6700\u65b0\u306e\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\uff0f\u30de\u30eb\u30c1\u30c7\u30a3\u30e1\u30f3\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6280\u8853, BCS-1-3, 2016\/3\/17, \u4e5d\u5dde\u5927\u5b66.<\/li>\n
                      • \u5e38\u76e4\u52c7\u592a, \u91d1\u6fa4 \u9756, \u30e2\u30c7\u30eb\u9078\u629e\u3092\u7528\u3044\u305f\u4efb\u610f\u5f62\u72b6\u30b9\u30af\u30ea\u30fc\u30f3\u306b\u5bfe\u3059\u308b\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\u6295\u5f71\u50cf\u306e\u5e7e\u4f55\u88dc\u6b63, \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2(CVIM), 2016-CVIM-200(13), 2016\/1\/20, \u5927\u962a\u5927\u5b66\u9280\u674f\u4f1a\u9928.<\/li>\n
                      • \u6c34\u5cf6\u5065, \u91d1\u6fa4 \u9756, \u9069\u5fdc\u7684\u306a\u5bfe\u5fdc\u4ed8\u3051\u306e\u305f\u3081\u306e\u753b\u50cf\u7279\u5fb4\u91cf\u306e\u8a55\u4fa1, \u5e73\u621027\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a, M3-7, 2015\/9\/28\u301c29, \u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66.<\/li>\n
                      • \u4f50\u8cc0\u90c1\u54c9, \u91d1\u6fa4 \u9756, \u8907\u6570\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\u3092\u7528\u3044\u305f\u6620\u50cf\u91cd\u7573\u306b\u304a\u3051\u308b\u8d85\u89e3\u50cf\u5ea6\u5316\u8a08\u7b97\u306e\u9ad8\u901f\u5316, \u7b2c18\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2015), 2015\/7\/27\u301c30, \u5927\u962a.<\/li>\n
                      • \u5e38\u76e4\u52c7\u592a, \u91d1\u6fa4 \u9756, \u30b9\u30af\u30ea\u30fc\u30f3\u306e\u81ea\u52d5\u7684\u306a\u591a\u9762\u4f53\u8fd1\u4f3c\u306b\u3088\u308b\u6295\u5f71\u50cf\u306e\u5e7e\u4f55\u88dc\u6b63, \u7b2c21\u56de\u753b\u50cf\u30bb\u30f3\u30b7\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (SSII2015), 2015\/6\/10\u301c12, \u30d1\u30b7\u30d5\u30a3\u30b3\u6a2a\u6d5c.<\/li>\n<\/ul>\n

                        2014\u5e74\u5ea6<\/span><\/h2>\n
                          \n
                        • \u5c0f\u6797 \u8aa0, \u91d1\u6fa4 \u9756, \u592a\u7530 \u76f4\u54c9, 2\u8272\u899a\u8005\u306e\u8272\u8b58\u5225\u7387\u5411\u4e0a\u306e\u305f\u3081\u306e2\u8272\u53cc\u5cf0\u6027\u30ce\u30a4\u30ba\u4ed8\u52a0\u306b\u3088\u308b\u753b\u50cf\u5f37\u8abf, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u798f\u7949\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u4f1a(WIT), WIT-2014-112 (2015-3), pp.153-158, Mar. 2015, \u7b51\u6ce2\u6280\u8853\u5927\u5b66.<\/li>\n
                        • \u4e0b\u6751\u6dbc\u592a, \u91d1\u6fa4 \u9756, 2\u53f0\u306eRGB-D\u30bb\u30f3\u30b5\u306b\u3088\u308b\u6c34\u9762\u4e0b\u74b0\u5883\u306e3\u6b21\u5143\u5fa9\u5143, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2(CVIM), 2015-CVIM-196(11), 1-8, 2015\/2\/27, \u6771\u5317\u5927\u5b66\uff0e<\/li>\n
                        • \u6fa4\u5cbb\u660e\u83dc, \u8907\u6570\u306e\u9069\u5fdc\u7684\u306a\u7279\u5fb4\u91cf\u3092\u7528\u3044\u305f\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u5e73\u621026\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u5352\u696d\u7814\u7a76\u767a\u8868\u4f1a, B1-3, 2015\/3\/9, \u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                        • \u6c34\u5cf6 \u5065, Label Transfer\u3092\u7528\u3044\u305f\u9069\u5fdc\u7684\u306a\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u5e73\u621026\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u5352\u696d\u7814\u7a76\u767a\u8868\u4f1a, B2-4, 2015\/3\/9, \u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                        • \u7aaa \u745b\u667a, \u5168\u65b9\u4f4d\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u5371\u967a\u691c\u77e5\u30b7\u30b9\u30c6\u30e0\u306e\u5c0f\u578b\u5316, \u5e73\u621026\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u5352\u696d\u7814\u7a76\u767a\u8868\u4f1a\uff0c P-9, 2015\/3\/9, \u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                        • \u5357\u96f2\u5927\u548c, \u57fa\u6e96\u9762\u306b\u5bfe\u3059\u308b\u5c04\u5f71\u5909\u63db\u3092\u7528\u3044\u305f\u5358\u773c\u8eca\u8f09\u30ab\u30e1\u30e9\u304b\u3089\u306e\u969c\u5bb3\u7269\u306e\u691c\u51fa, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u5352\u696d\u7814\u7a76\u767a\u8868\u4f1a, P-29, 2015\/3\/9, \u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                        • Y. Kanazawa, Y. Sugaya, and K. Kanatani, Decomposing three fundamental matrices for initializing 3-D reconstruction from three views, IPSJ Trans. CVA, Vol.6(2014), pp.120–131, Nov. 2014\uff0e<\/li>\n
                        • \u5e38\u76e4\u52c7\u592a, \u91d1\u6fa4 \u9756, \u753b\u50cf\u306e\u5c04\u5f71\u5909\u63db\u306b\u304a\u3051\u308b\u9ad8\u901f\u5316\u6cd5\u306e\u6bd4\u8f03\u30fb\u691c\u8a0e, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, \u30b0\u30e9\u30a4\u30c3\u30af\u30b9\u3068CAD (CG), 2014-CG-156(6), 1-6, 2014\/9\/9.<\/li>\n
                        • \u5c71\u5d0e\u5927\u8f14, \u91d1\u6fa4 \u9756, 3\u753b\u50cf\u304b\u3089\u306e\u5fa9\u5143\u3092\u7528\u3044\u305f\u5fa9\u5143\u5f62\u72b6\u306e\u8a55\u4fa1\u95a2\u6570\u3068\u5f62\u72b6\u5408\u6210\u3078\u306e\u5fdc\u7528, \u7b2c17\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2014), 2014.7.28-31\uff0c\u5ca1\u5c71\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc, \u30dd\u30b9\u30bf\u30fc.<\/li>\n<\/ul>\n

                          2013\u5e74\u5ea6<\/span><\/h2>\n
                            \n
                          • \u5c71\u5d0e\u5927\u8f14, \u91d1\u6fa4 \u9756, 3\u753b\u50cf\u304b\u3089\u306e\u5fa9\u5143\u3092\u7528\u3044\u305f\u5fa9\u5143\u5f62\u72b6\u306e\u8a55\u4fa1\u95a2\u6570\u3068\u5f62\u72b6\u5408\u6210\u3078\u306e\u5fdc\u7528, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\uff08CVIM\uff09,2014-CVIM-191(25),1-8 (2014-02-24), 2014\/3\/4.<\/li>\n
                          • \u9577\u7551\u9999\u5948\u6804 , \u91d1\u6fa4 \u9756, \u9069\u5fdc\u7684\u306a\u7279\u5fb4\u91cf\u9078\u629e\u306b\u3088\u308b\u753b\u50cf\u9593\u306e\u9ad8\u7cbe\u5ea6\u306a\u5bfe\u5fdc\u4ed8\u3051\u6cd5\u306e\u691c\u8a0e, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\uff08CVIM\uff09,2014-CVIM-191(24),1-8 (2014-02-24), 2014\/3\/4.<\/li>\n
                          • Y. Tanno and Y. Kanazawa, Image matching for repetitive patterns by clustering and transforming in feature space, Proc. the 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013).<\/li>\n
                          • Y. Kanazawa, Y. Sugaya, and K. Kanatani, Initializing 3-D reconstruction from Three Views using Three Fundamental Matrices, Workshop on Geometric Computation for Computer Vision (GCCV2013), Guanajuato, Mexico, Oct. 29, 2013.<\/li>\n
                          • K. Wakimoto, Y. Kanazawa, N. Ohta, Color image enhancement for dichromats by additive image noise\uff0c\u7b2c16\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2013), 2013.7.30-8\/1\uff0c\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240\uff0c\u30aa\u30fc\u30e9\u30eb\uff0e<\/li>\n
                          • \u4e39\u91ce\u82b3\u6a39\uff0c\u91d1\u6fa4 \u9756\uff0c\u7279\u5fb4\u7a7a\u9593\u3092\u7528\u3044\u305f\u7e70\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u306e\u691c\u51fa\u3068\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051\uff0c\u7b2c16\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2013), 2013.7.30-8\/1\uff0c\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240\uff0c\u30dd\u30b9\u30bf\u30fc\uff0e<\/li>\n
                          • K. Wakimoto, Y. Kanazawa, N. Ohta, Color image enhancement for dichromats by additive image noise\uff0cIPSJ Trans. CVA, Vol.5(2013), pp.45–49, June 2013\uff0e<\/li>\n<\/ul>\n

                            2012\u5e74\u5ea6<\/span><\/h2>\n
                              \n
                            • \u4e39\u91ce\u82b3\u6a39\uff0c\u91d1\u6fa4 \u9756\uff0c\u7279\u5fb4\u7a7a\u9593\u306e\u90e8\u5206\u7a7a\u9593\u3092\u7528\u3044\u305f\u7e70\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u306e\u691c\u51fa\u3068\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a\uff0cCVIM-186-16, 2013.3.14-15, \u5927\u962a\u5927\u5b66\u7523\u696d\u79d1\u5b66\u7814\u7a76\u6240.<\/li>\n
                            • \u5c71\u5d0e\u5927\u8f14\uff0c\u91d1\u6fa4 \u9756\uff0c\u83c5\u8c37\u4fdd\u4e4b\uff0c\u91d1\u8c37\u5065\u4e00\uff0c3\u57fa\u790e\u884c\u5217\u306e\u5206\u89e3\u306b\u3088\u308b3\u753b\u50cf\u304b\u3089\u306e3\u6b21\u5143\u5f62\u72b6\u5fa9\u5143\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a\uff0cCVIM-186-15, 2013.3.14-15, \u5927\u962a\u5927\u5b66\u7523\u696d\u79d1\u5b66\u7814\u7a76\u6240.<\/li>\n
                            • \u9577\u7551\u9999\u5948\u6804\uff0c\u91d1\u6fa4 \u9756\uff0c\u753b\u50cf\u306e\u5bfe\u5fdc\u4ed8\u3051\u306b\u304a\u3051\u308b\u7279\u5fb4\u91cf\u306e\u81ea\u52d5\u9078\u629e\u306e\u305f\u3081\u306e\u4e88\u5099\u7684\u691c\u8a0e\uff0c\u7b2c10\u56de\u60c5\u5831\u5b66\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (WiNF2012)\uff0c2012.12.8-9, \u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                            • \u4e95\u4e0a\u5c1a\u4eba\uff0c\u91d1\u6fa4 \u9756\uff0c\u5c40\u6240\u5f62\u72b6\u60c5\u5831\u3092\u7528\u3044\u305f\u90e8\u52063\u6b21\u5143\u5f62\u72b63D\u3068\u30e2\u30c7\u30eb\u306e\u4f4d\u7f6e\u5408\u308f\u305b\uff0c\u5e73\u621024\u5e74\u5ea6\u96fb\u5668\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\uff0c2012.9.24-25\uff0c\u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                            • \u5c0f\u91ce\u52dd\u4e5f\uff0c\u91d1\u6fa4 \u9756\uff0c\u5168\u65b9\u4f4d\u753b\u50cf\u306b\u304a\u3051\u308b\u76f4\u7dda\u5f53\u3066\u306f\u3081\u306e\u6a19\u6e96\u5909\u4f4d\u3092\u7528\u3044\u305f\u885d\u7a81\u691c\u77e5\uff0c\u5e73\u621024\u5e74\u5ea6\u96fb\u5668\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\uff0c2012.9.24-25\uff0c\u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                            • \u8107\u5143 \u7fd4\uff0c\u6a4b\u672c\u5c1a\u5b5d\uff0c\u91d1\u6fa4 \u9756\uff0c\u592a\u7530\u76f4\u54c9\uff0c\u8272\u899a\u969c\u5bb3\u8005\u306e\u8b58\u5225\u7387\u5411\u4e0a\u306e\u305f\u3081\u306e\u753b\u50cf\u3078\u306e\u60c5\u5831\u4ed8\u52a0\u306b\u95a2\u3059\u308b\u691c\u8a0e\uff0c\u5e73\u621024\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\uff0c2012.9.24-25\uff0c\u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5927\u5b66.<\/li>\n
                            • \u5c71\u5d0e\u5927\u8f14\uff0c\u9234\u5c3e\u5927\u5730\uff0c\u91d1\u6fa4 \u9756\uff0c\u516b\u6728\u5eb7\u53f2\uff0c2\u753b\u50cf\u306e\u307f\u304b\u3089\u5fa9\u5143\u3057\u305f\u5f62\u72b6\u306e\u6b6a\u307f\u306e\u8a55\u4fa1\u95a2\u6570\u3068\u5f62\u72b6\u5408\u6210\u3078\u306e\u5fdc\u7528\uff0c\u7b2c15\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2012)\uff0c2012.8.6-8\uff0c\u798f\u5ca1(\u798f\u5ca1\u5e02\u535a\u591a\u533a).<\/li>\n
                            • \u4e39\u91ce\u82b3\u6a39\uff0c\u91d1\u6fa4 \u9756\uff0c\u7279\u5fb4\u91cf\u7a7a\u9593\u306b\u304a\u3051\u308b\u5e7e\u4f55\u5b66\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u3088\u308b\u753b\u50cf\u5185\u306e\u7e70\u308a\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u5e73\u9762\u306e\u691c\u51fa\uff0c\u7b2c15\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2012)\uff0c2012.8.6-8\uff0c\u798f\u5ca1(\u798f\u5ca1\u5e02\u535a\u591a\u533a).<\/li>\n
                            • \u9234\u5c3e\u5927\u5730, \u5c71\u5d0e\u5927\u8f14, \u91d1\u6fa4 \u9756, \u516b\u6728\u5eb7\u53f2, \uff12\u753b\u50cf\u306e\u307f\u304b\u3089\u5fa9\u5143\u3057\u305f\u5f62\u72b6\u306e\u6b6a\u307f\u306e\u8a55\u4fa1\u95a2\u6570\u3068\u5f62\u72b6\u5408\u6210\u3078\u306e\u5fdc\u7528, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, CVIM, 2012.5.23-24,\u4e2d\u4eac\u5927\u5b66.<\/li>\n<\/ul>\n

                              2011\u5e74\u5ea6<\/span><\/h2>\n
                                \n
                              • Yoshiki Tanno and Yasushi Kanazawa, Detection of Repetitive Patterns using Clustering with Geometric AIC for Image Matching, The 15th SANKEN International Symposium 2012, ICHO-KAIKAN, Osaka, Japan, January 12-13, 2012.<\/li>\n
                              • \u5742\u672c \u5927\u6a39, \u9ad8\u6a4b \u5c06\u8cb4, \u91d1\u6fa4 \u9756, \u7279\u5fb4\u91cf\u7a7a\u9593\u3092\u7528\u3044\u305f\u7e70\u308a\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u3092\u542b\u3080\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u7b2c14\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2011), 2011.7.20-22, \u91d1\u6ca2(\u91d1\u6ca2\u5e02\u6587\u5316\u30db\u30fc\u30eb).<\/li>\n
                              • \u5c0f\u4f50 \u4eae\u592a, \u91d1\u6fa4 \u9756, \u4ea4\u901a\u5f31\u8005\u306e\u305f\u3081\u306e\u9053\u8def\u4ea4\u901a\u6a19\u8b58\u306e\u5f37\u8abf\u63d0\u793a\u306e\u4e00\u691c\u8a0e, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u798f\u7949\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u4f1a, WIT2011-17, pp.91–96, 2011.5.20-5.21, \u65b0\u6f5f\u5927\u5b66\u99c5\u5357\u30ad\u30e3\u30f3\u30d1\u30b9\u300c\u3068\u304d\u3081\u3044\u3068\u300d(\u65b0\u6f5f\u770c\u65b0\u6f5f\u5e02).<\/li>\n<\/ul>\n

                                2010\u5e74\u5ea6<\/span><\/h2>\n
                                  \n
                                • \u5e73\u4e95 \u514b\u5e83, \u91d1\u6fa4 \u9756, \u4f50\u5ddd \u7acb\u660c, \u516b\u6728 \u5eb7\u53f2, \u8178\u7ba1\u306e3\u6b21\u5143\u5fa9\u5143\u306e\u305f\u3081\u306e\u5185\u8996\u93e1\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u3065\u3051, Medical Imaging Technology, Vol.29, No.1, pp.36–46, Jan. 2011.<\/li>\n
                                • \u5e73\u4e95\u514b\u5b8f, \u91d1\u6fa4 \u9756, \u4f50\u5ddd\u7acb\u660c, \u516b\u6728\u5eb7\u53f2, \u5185\u8996\u93e1\u30ab\u30e1\u30e9\u306b\u3088\u308b\u8178\u7ba1\u306e\u6620\u50cf\u306e\u5bfe\u5fdc\u4ed8\u3051\u3068\u305d\u306e3\u6b21\u5143\u5f62\u72b6\u306e\u5fa9\u5143, \u7b2c13\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2010), 2010.7.27-29, \u91e7\u8def(\u91e7\u8def\u5e02\u89b3\u5149\u56fd\u969b\u4ea4\u6d41\u30bb\u30f3\u30bf\u30fc).<\/li>\n
                                • \u5c71\u7530\u5065\u4eba, \u91d1\u6fa4 \u9756, \u5168\u5468\u5f62\u72b6\u5fa9\u5143\u306e\u305f\u3081\u306e\u53ef\u5909\u9577\u4e0d\u5909\u8a18\u8ff0\u5b50\u306b\u3088\u308b3\u6b21\u5143\u90e8\u5206\u5f62\u72b6\u30de\u30c3\u30c1\u30f3\u30b0, \u7b2c13\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2010), 2010.7.27-29, \u91e7\u8def(\u91e7\u8def\u5e02\u89b3\u5149\u56fd\u969b\u4ea4\u6d41\u30bb\u30f3\u30bf\u30fc).<\/li>\n<\/ul>\n

                                  2009\u5e74\u5ea6<\/span><\/h2>\n
                                    \n
                                  • \u5e73\u4e95\u514b\u5e83, \u91d1\u6fa4 \u9756, \u4f50\u5ddd\u7acb\u660c, \u516b\u6728\u5eb7\u53f2, \u5185\u8996\u93e1\u30ab\u30e1\u30e9\u6620\u50cf\u304b\u3089\u306e\u8178\u7ba1\u306e3\u6b21\u5143\u5f62\u72b6\u306e\u5fa9\u5143, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, CVIM-171-15, 2010.3.18-3.19, \u8abf\u5e03(\u96fb\u901a\u5927).<\/li>\n
                                  • \u5c71\u7530\u5065\u4eba, \u91d1\u6fa4 \u9756, \u5168\u5468\u5f62\u72b6\u5fa9\u5143\u306e\u305f\u3081\u306e\u4e0d\u5909\u8a18\u8ff0\u5b50\u306b\u3088\u308b3\u6b21\u5143\u90e8\u5206\u5f62\u72b6\u30de\u30c3\u30c1\u30f3\u30b0, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, CVIM-171-1, 2010.3.18-3.19, \u8abf\u5e03(\u96fb\u901a\u5927).<\/li>\n
                                  • \u5e73\u4e95\u514b\u5e83, \u91d1\u6fa4 \u9756, \u4f50\u5ddd\u7acb\u660c, \u516b\u6728\u5eb7\u53f2, \u8178\u7ba1\u306e3\u6b21\u5143\u5fa9\u5143\u306e\u305f\u3081\u306e\u5185\u8996\u93e1\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, MI\u7814\u7a76\u4f1a, MI2009-117, 2010.1.28-1.29, \u90a3\u8987(\u90a3\u8987\u5e02\u3076\u3093\u304b\u30c6\u30f3\u30d6\u30b9\u9928).<\/li>\n
                                  • \u5c71\u7530\u5065\u4eba, \u91d1\u6fa4 \u9756, \u91d1\u8c37\u5065\u4e00, \u83c5\u8c37\u4fdd\u4e4b, 2\u753b\u50cf\u304b\u3089\u306e3\u6b21\u5143\u5fa9\u5143\u306e\u6700\u65b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, CVIM-168-15, 2009.8.31-9.1, \u4ed9\u53f0(\u6771\u5317\u5927\u5b66).<\/li>\n
                                  • \u5742\u672c\u5927\u6a39, \u91d1\u6fa4 \u9756, \u30d1\u30bf\u30fc\u30f3\u7279\u5fb4\u91cf\u7a7a\u9593\u3092\u7528\u3044\u305f\u7e70\u308a\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u3092\u542b\u3080\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, PRMU\u7814\u7a76\u4f1a, PRMU2009-52, 2009.6.18-19, \u672d\u5e4c(\u5317\u6d77\u9053\u5927\u5b66).<\/li>\n<\/ul>\n

                                    2008\u5e74\u5ea6<\/span><\/h2>\n
                                      \n
                                    • \u8239\u672c\u5c06\u5e73, \u91d1\u6fa4 \u9756, \u8907\u6570\u306e\u5c04\u5f71\u5909\u63db\u884c\u5217\u3092\u7528\u3044\u305f\u5358\u773c\u79fb\u52d5\u30ab\u30e1\u30e9\u306b\u3088\u308b\u30b7\u30fc\u30f3\u306e3\u6b21\u5143\u5fa9 \u5143, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, CVIM, CVIM-166-15, pp.97-104, 2009.3.13-14, \u4ed9\u53f0(\u6771\u5317\u5de5\u696d\u5927\u5b66).<\/li>\n
                                    • \u6749\u672c\u771f\u5d07, \u9577\u6a4b \u601c, \u83c5\u8c37\u4fdd\u4e4b, \u91d1\u6fa4 \u9756, \u4f0a\u85e4\u5409\u5f18, \u4f50\u85e4\u7d00\u4e16\u4e45, \u5730\u7406\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u8eca\u8f09\u30ab\u30e1\u30e9\u6620\u50cf\u304b\u3089\u306e\u9053\u8def\u6a19\u8b58\u306e\u8a8d\u8b58, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, PRMU\u7814\u7a76\u4f1a, 2008.6.19-20, \u5c0f\u6a3d(\u5c0f\u6a3d\u5e02\u6c11\u4f1a\u9928).<\/li>\n
                                    • \u5c71\u897f \u8061, \u91d1\u6fa4 \u9756, \u5f62\u72b6\u306e\u6b63\u6e96\u5316\u306b\u3088\u308b\u5c04\u5f71\u6b6a\u307f\u306b\u30ed\u30d0\u30b9\u30c8\u306a2\u6b21\u5143\u5f62\u72b6\u306e\u8a8d\u8b58, \u7b2c11\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2008), 2008.7.29-7\/31, \u8efd\u4e95\u6ca2(\u8efd\u4e95\u6ca2\u30d7\u30ea\u30f3\u30b9\u30db\u30c6\u30eb).<\/li>\n<\/ul>\n

                                      2007\u5e74\u5ea6<\/span><\/h2>\n
                                        \n
                                      • Sunao Kamiya and Yasushi Kanazawa, Accurate Image Matching in Scenes Including Repetitive Patterns, Second International Workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008, pp.165–176.<\/li>\n
                                      • \u795e\u8c37 \u76f4, \u91d1\u6fa4 \u9756, \u7e70\u308a\u8fd4\u3057\u30d1\u30bf\u30fc\u30f3\u3092\u542b\u3080\u30b7\u30fc\u30f3\u306b\u5bfe\u3059\u308b\u753b\u50cf\u9593\u306e\u5bfe\u5fdc\u3065\u3051, \u7b2c10\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU2007), 2007.7.30-8\/1, \u5e83\u5cf6(\u5e83\u5cf6\u5e02\u7acb\u5927\u5b66).<\/li>\n
                                      • Yusuke Takanashi, Yohei Shibata, and Yasushi Kanazawa, Improving Accuracy of 3-D Reconstruction by Classifying Correspondences, IAPR Conference on Machine Vision Applications (MVA2007), Tokyo, May 16-18, 2007, pp.13–16.<\/li>\n<\/ul>\n

                                        2006\u5e74\u5ea6<\/span><\/h2>\n
                                          \n
                                        • \u4e2d\u91ce \u88d5\u4ecb, \u91d1\u6fa4 \u9756, \u6821\u6b63\u6e08\u307f\u30b9\u30c6\u30ec\u30aa\u30ab\u30e1\u30e9\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u81ea\u52d5\u88dc\u6b63, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a, CVIM\u7814\u7a76\u4f1a, 2007.3.19-20, \u9e7f\u5150\u5cf6(\u9e7f\u5150\u5cf6\u5927).<\/li>\n
                                        • \u9234\u5ddd \u6176\u4e00, \u91d1\u6fa4 \u9756, \u5075\u5bdf\u306b\u3088\u308b\u79fb\u52d5\u91cf\u63a8\u5b9a\u306b\u57fa\u3065\u304f\u7c92\u5b50\u30d5\u30a3\u30eb\u30bf\u3092\u7528\u3044\u305f\u7269\u4f53\u306e\u8ffd\u8de1, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a, PRMU\u7814\u7a76\u4f1a, 2007.3.15-16, \u5ca1\u5c71(\u5ca1\u5c71\u5927\u5b66).<\/li>\n
                                        • \u4f0a\u85e4 \u5409\u5f18, \u91d1\u6fa4 \u9756, \u753b\u50cf\u304b\u3089\u6c42\u3081\u305f\u8907\u6570\u306e\u3086\u3046\u5ea6\u5206\u5e03\u306b\u3088\u308b\u91cd\u307f\u3092\u7528\u3044\u305fRANSAC\u306b\u3088\u308b\u753b\u50cf \u9593\u306e\u5bfe\u5fdc\u4ed8\u3051, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD, Vol.J89-D, No.12, pp. 2710-2720, Dec. 2006.<\/li>\n
                                        • \u4e2d\u91ce \u88d5\u4ecb, \u91d1\u6fa4 \u9756, \u6821\u6b63\u6e08\u307f\u30b9\u30c6\u30ec\u30aa\u30ab\u30e1\u30e9\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u81ea\u52d5\u88dc\u6b63\u306b\u95a2\u3059\u308b\u7814\u7a76, \u60c5\u5831\u5b66\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72006(WiNF 2006), pp.71–76, 2006.9.25-26, \u611b\u77e5(\u611b\u77e5\u770c\u7acb\u5927), \u5968\u52b1\u8cde\u53d7\u8cde.<\/li>\n
                                        • \u585a\u672c \u5065\u4e8c, \u91d1\u6fa4 \u9756, \u30b9\u30c6\u30ec\u30aa\u52d5\u753b\u50cf\u304b\u3089\u79fb\u52d5\u7269\u4f53\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u691c\u51fa, \u60c5\u5831\u5b66\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72006(WiNF 2006), pp.77–82, 2006.9.25-26, \u611b\u77e5(\u611b\u77e5\u770c\u7acb\u5927).<\/li>\n
                                        • \u5c71\u897f \u8061, \u91d1\u6fa4 \u9756, \u672a\u6821\u6b63\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\uff0d\u30ab\u30e1\u30e9\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u57fa\u790e\u884c\u5217\u306e\u6700\u9069\u306a\u63a8\u5b9a, \u60c5\u5831\u5b66\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72006(WiNF 2006), pp.199–204, 2006.9.25-26, \u611b\u77e5(\u611b\u77e5\u770c\u7acb\u5927).<\/li>\n
                                        • Yasushi Kanazawa and Koki Uemura, Wide baseline matching using triplet vector descriptor, The 17th British Machine Vision Conference (BMVC2006), Edinburgh, U.K., September 4-7, 2006, pp.267–276.<\/li>\n
                                        • \u98ef\u5e72 \u6176\u7d00, \u91d1\u6fa4 \u9756, \u30b9\u30c6\u30ec\u30aa\u30d1\u30f3\u30c1\u30eb\u30c8\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u5e83\u7bc4\u306a\u30b7\u30fc\u30f3\u306e3\u6b21\u5143\u5fa9\u5143, \u7b2c9\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU 2006), pp.577–582, 2006.7.19-21, \u4ed9\u53f0(\u4ed9\u53f0\u5e02\u9752\u5e74\u6587\u5316\u30bb\u30f3\u30bf\u30fc).<\/li>\n<\/ul>\n

                                          2005\u5e74\u5ea6<\/span><\/h2>\n