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Grassmann manifold based shape matching and retrieval under partial occlusions
Li CX(李晨曦); Shi ZL(史泽林); Liu YP(刘云鹏); Xu BS(徐保树)
作者部门光电信息技术研究室
会议名称International Symposium on Optoelectronic Technology and Application 2014
会议日期May 13-15, 2014
会议地点Beijing, China
会议录名称Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
出版者SPIE
出版地Bellingham, WA
2014
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20150800551811
WOS记录号WOS:000349327100095
产权排序1
ISSN号0277-786X
关键词Grassmann Manifold Partial Shape Matching Contour Matching Partial Occlusion Affine Invariant
摘要Shape matching and recognition is a challenging task due to geometric distortions and occlusions. A novel shape matching approach based on Grassmann manifold is proposed that affine transformations and partial occlusions are both considered. An affine invariant Grassmann shape descriptor is employed which projects one shape contour to a point on Grassmann manifold and gives the similarity measurement between two contours based on the geodesic distance on the manifold. At first, shape contours are parameterized by affine length and accordingly divided into local affine-invariant shape segments, which are represented by the Grassmann shape descriptor, according to their curvature scale space images. Then the Smith-Waterman algorithm is employed to find the common parts of two shapes’ segment sequences, and get the local similarity of shapes. The global similarity is given by the found common parts, and finally the shape recognition accomplished by the weighted sum of local similarity and global similarity. The robustness of the Grassmann shape descriptor is analyzed through subspace perturbation analysis theory. Retrieval experiments show that our approach is effective and robust under affine transformations and partial occlusions.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15329
专题光电信息技术研究室
通讯作者Li CX(李晨曦)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
2.University of Chinese Academy of Science, Beijing, China
推荐引用方式
GB/T 7714
Li CX,Shi ZL,Liu YP,et al. Grassmann manifold based shape matching and retrieval under partial occlusions[C]. Bellingham, WA:SPIE,2014:1-6.
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