Grassmann manifold based shape matching and retrieval under partial occlusions
文献类型:会议论文
作者 | Li CX(李晨曦); Shi ZL(史泽林)![]() ![]() ![]() |
出版日期 | 2014 |
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 |
关键词 | Grassmann manifold Partial shape matching contour matching partial occlusion affine invariant |
页码 | 1-6 |
中文摘要 | 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. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议录 | Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
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会议录出版者 | SPIE |
会议录出版地 | Bellingham, WA |
语种 | 英语 |
ISSN号 | 0277-786X |
WOS记录号 | WOS:000349327100095 |
源URL | [http://ir.sia.cn/handle/173321/15329] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
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]. 见:International Symposium on Optoelectronic Technology and Application 2014. Beijing, China. May 13-15, 2014. |
入库方式: OAI收割
来源:沈阳自动化研究所
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