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题名: A shape context based Hausdorff similarity measure in image matching
作者: Ma TL(马天磊) ; Liu YP(刘云鹏) ; Shi ZL(史泽林) ; Yin J(尹健)
作者部门: 光电信息技术研究室
会议名称: 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications
会议日期: June 25-27, 2013
会议地点: Beijing
会议主办者: Chinese Soc Astronaut, Photoelectron Technol Comm, Tianjin Jinhang Inst Tech Phys, Sci & Technol Low Light Level Night Vis Lab, Sci & Technol Opt Radiat Lab, Sci & Technol Electromagnet Scattering Lab, SPIE, Opt Soc, European Opt Soc, Chinese Soc Astronaut
会议录: INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS
会议录出版者: SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地: BELLINGHAM
出版日期: 2013
页码: 1-7
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
ISBN号: 978-0-8194-9776-5
关键词: The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13847
Appears in Collections:光电信息技术研究室_会议论文

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