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A shape context based Hausdorff similarity measure in image matching

文献类型：会议论文

作者Ma TL(马天磊); Liu YP(刘云鹏); Shi ZL(史泽林); Yin J(尹健)
出版日期2013
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
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.
页码1-7
收录类别EI ; CPCI（ISTP）
产权排序1
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
语种英语
ISSN号0277-786X
ISBN号978-0-8194-9776-5
WOS记录号WOS:000325423700022
源URL[http://ir.sia.cn/handle/173321/13847]  
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		 Ma TL,Liu YP,Shi ZL,et al. A shape context based Hausdorff similarity measure in image matching[C]. 见:5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications. Beijing. June 25-27, 2013.

入库方式： OAI收割

来源：沈阳自动化研究所

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