DocumentCode :
27306
Title :
Novel affine-invariant curve descriptor for curve matching and occluded object recognition
Author :
Huijing Fu ; Zheng Tian ; Maohua Ran ; Ming Fan
Author_Institution :
Dept. of Appl. Math., Northwestern Polytech. Univ., Xi´an, China
Volume :
7
Issue :
4
fYear :
2013
fDate :
Aug-13
Firstpage :
279
Lastpage :
292
Abstract :
The authors present a new approach for affine distorted planar curve matching and exploit it for occluded object recognition. There are two main contributions in the study: First, a novel affine-invariant curve descriptor (AICD) based on a new-defined affine-invariant signature and its unsigned sum is proposed to represent the local shape of a curve with high distinctiveness. Second, a part-to-part curve matching algorithm is developed by combining AICD with a curve segmentation strategy based on inflexion points, which can be applied to object recognition under affine distortions and partial occlusions. Experimental results demonstrate that the proposed method exhibits effectiveness in occluded object recognition better than the state-of-the-art partial curve matching methods.
Keywords :
affine transforms; image matching; image segmentation; object recognition; AICD; affine distorted planar curve matching; affine distortions; affine-invariant curve descriptor; curve segmentation strategy; inflexion points; occluded object recognition; part-to-part curve matching algorithm; partial occlusions;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi.2012.0123
Filename :
6553653
Link To Document :
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