An Algorithm for Image Match Propagation

摘要：

Stereo matching is an important part of 3D reconstruction. This paper proposes an improved match propagation algorithm. Firstly,the feature points are extracted and matched by SIFT algorithm then they are used as seed points for the image match propagation in neig- hborhood. Secondly,these dense correspondences are re-sampled to quasi-dense correspo- ndences. Finally,the mismatched points and outliers are eliminated by epipolar constraint. Experiments show that this improved algorithm can be applied in the similar structure of images with great change of depth.

关键词： SIFT algorithm propagation epipolar constraint quasi-dense matching

作者: Rong Liu Liang He Kaiyun Lu yan Luo

作者单位: Department of Surveying,East China Institute of Technology,Fuzhou,Jiangxi,344000,China Department of Surveying,East China Instituteof Technology,Fuzhou,Jiangxi,344000,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 542-545

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）