Abstract
We propose an accurate method for establishing point correspondences between two images taken by an uncalibrated stereo. We explores the case of a scene with multiple planes and we detect the homographies of the planes by using a RANSAC-like algorithm. For random sampling in RANSAC, we define three nonuniform sampling weights that are computed from feature points in the images. By introducing these weights, our method can detect more accurate matches than the usual methods. Furthermore, our method can establish the correspondence stably irrespective of the scene is faraway or not. We demonstrate effectiveness of our method by real image examples.