Open AccessNovel affine‐invariant curve descriptor for curve matching and occluded object recognition
Author(s) -
Fu Huijing,
Tian Zheng,
Ran Maohua,
Fan Ming
Publication year - 2013
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2012.0123
Subject(s) - affine transformation , mathematics , affine shape adaptation , artificial intelligence , invariant (physics) , cognitive neuroscience of visual object recognition , pattern recognition (psychology) , segmentation , matching (statistics) , computer vision , affine geometry of curves , affine combination , computer science , feature extraction , geometry , statistics , mathematical physics
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.