标题:Dense Matching Based on Subspace Learning for Non-Rigid Object
作者:Zhang, Qian
通讯作者:Zhang, Q;Zhang, Q
作者机构:[Zhang, Qian] Shandong Univ, Key Lab Software Engn, Jinan 250101, Peoples R China.; [Zhang, Qian] Taishan Univ, Sch Informat Sci & Technol, Tai An 2 更多
会议名称:8th International Conference on Internet Multimedia Computing and Service (ICIMCS)
会议日期:AUG 19-21, 2016
来源:8TH INTERNATIONAL CONFERENCE ON INTERNET MULTIMEDIA COMPUTING AND SERVICE (ICIMCS2016)
出版年:2016
页码:181-183
DOI:10.1145/3007669.3007684
关键词:Non-rigid surface; dense matching; Subspace learning; reconstruction;; disparity map
摘要:A dense matching method for non-rigid object is proposed in the paper. Our method is inspired by the continuous convex surface of non-rigid object. The similarity of each patch in a surface structure optimizes an energy minimization through Graph cut model. In order to improve the efficiency of method, a subspace learning algorithm is proposed with robust discrete matched points. The Evaluation of our method is given to guarantee the effectiveness of proposed research.
收录类别:CPCI-S
资源类型:会议论文
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