New Stereo Matching and 3d View Generation Algorithms Using Aerial Stereo Images

In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability theory was adopted to encompass uncertainty of disparity of points over the window in this study. The proposed stereo matching algorithm has tested on both disparity map and 3D model view. In this paper, new stereo matching algorithm and reliable 3D view generation technique are presented. The proposed algorithm is evaluated using aerial stereo images. The simulation result shows that considerable improvements are obtained especially in projective distortion region, and 3D modeling result demonstrates the enhanced performance of stereo matching algorithm. INTRODUCTION Stereo images are obtained from the different perspective position as shown in Figure 1. In a pair of eyes, each eye receives slightly different images of the world due to its distinct position. Differences between the left and right images create binocular disparities. The human visual system (HVS) can detect and use these disparities to recover information about the three-dimensional structure of the scene being viewed. The stereo correspondence problem makes the explicit disparities of all points common to both images. A great deal of computer vision research has addressed this problem, because disparity contains useful information for various applications such as object recognition, inspection, and manipulation, etc.