Stereo matching algorithm for 3D reconstruction based on uncalibrated images
Lulu Zhao · Jisuanji yingyong yanjiu · 2010
This paper proposed a stereo matching algorithm for 3D reconstruction based on uncalibrated images. Firstly,this algorithm refered limiting factor to eliminate the clustering phenomenon of Harris corners,and used Gaussian quadrics fitting to let Harris corners reach sub-pixel level. Then,constructed the Sift feature descriptor around the feature point for initial match, used RANSAC algorithm to estimate fundamental matrix,at the same time,excluded outlier points. Finally,proposed bidirectional matching to find unmatching points by using fundamental matrix. The experimental results show that object structure can be well reconstructed by using this algorithm,and it is an effective stereo matching algorithm for 3D reconstruction based on uncalibrated images.