Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features

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	Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features
	Cai HY(蔡慧英); Zhu F(朱枫); Hao YM(郝颖明); Lu RR(鲁荣荣)
	2016
会议名称	International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control
会议日期	May 9-11, 2016
会议地点	Beijing
关键词	Shape matching Affine transformation shape normalization Multi-scale area integral features
页码	1-7
通讯作者	蔡慧英
中文摘要	Shape Matching under Affine Transformation (SMAT) is an important issue in shape analysis. Most of the existing SMAT methods are sensitive to noise or complicated because they usually need to extract the edge points or compute the high order function of the shape. To solve these problems, a new SMAT method which combines the low order shape normalization and the multi-scale area integral features is proposed. First, the shapes with affine transformation are normalized into their orthogonal representations according to the moments and an equivalent resample. This procedure transforms the shape by several linear operations: translations, scaling, and rotation, following by a resample operation. Second, the Multi-Scale Area Integral Features (MSAIF) of the shapes which are invariant to the orthogonal transformation (rotation and reflection transformation) are extracted. The MSAIF is a signature achieved through concatenating the area integral feature at a range of scales from fine to coarse. The area integral feature is an integration of the feature values, which are computed by convoluting the shape with an isotropic kernel and taking the complement, over the shape domain following by the normalization using the area of the shape. Finally, the matching of different shapes is performed according to the dissimilarity which is measured with the optimal transport distance. The performance of the proposed method is tested on the car dataset and the multi-view curve dataset. Experimental results show that the proposed method is efficient and robust, and can be used in many shape analysis works.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of SPIE - The International Society for Optical Engineering
会议录出版者	SPIE
会议录出版地	Bellingham, WA
语种	英语
ISSN号	0277-786X
ISBN号	978-1-5106-0772-9
WOS记录号	WOS:000391228600067
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/19169]
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	Cai HY,Zhu F,Hao YM,et al. Shape Matching under Affine Transformation Using Normalization and Multi-scale Area Integral Features[C]. 见:International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control. Beijing. May 9-11, 2016.