DocumentCode :
79236
Title :
Contour matching using the affine-invariant support point set
Author :
Wei Wang ; Yongmei Jiang ; Boli Xiong ; Lingjun Zhao ; Gangyao Kuang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume :
8
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
35
Lastpage :
44
Abstract :
Moment has been widely used for contour matching. To use the moment to achieve contour matching under affine transformations, the affine-invariant support point set (SPS) should be constructed first. Then, a novel method of acquiring SPS based on the contour projection (SPS-CP) is proposed here. For an arbitrary selected contour point, the contour is projected onto the line vertical to the vector connecting the contour centroid and the selected point, and the contour points with the sampled projection values are picked up to form the SPS-CP of the point. SPS-CP which captures the global structure of the contour is stably affine-invariant. Experiments on synthetic and real data demonstrate that moments generated from SPS-CP outperform those generated from SPSs sampled by uniform spacing or affine length.
Keywords :
affine transforms; image matching; SPS-CP; affine length; affine transformations; affine-invariant support point set; contour centroid; contour global structure; contour matching; contour projection; image matching;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi.2013.0031
Filename :
6725837
Link To Document :
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