DocumentCode :
1050365
Title :
Application of elliptic Fourier descriptors to symmetry detection under parallel projection
Author :
Yip, Raymond K K ; Tam, Peter K S ; Leung, Dennis N K
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Volume :
16
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
277
Lastpage :
286
Abstract :
In this paper, the method of elliptic Fourier descriptors using arc length parameterization is applied to tackle the problem of detection and recovery of symmetry under parallel projection. A simple and fast iteration algorithm together with the invariants of symmetry provides sufficient information for the detection and recovery of symmetry under parallel projection. The proposed method has been extensively tested using symmetric figures under different parallel projections. Simulation results of the algorithm are presented. The extension of this method for planar object recognition under parallel projection is also addressed
Keywords :
computer vision; invariance; iterative methods; series (mathematics); arc length parameterization; elliptic Fourier descriptors; invariants; iteration algorithm; parallel projection; planar object recognition; symmetry detection; Cameras; Computer vision; Fourier series; Nonlinear distortion; Object recognition; Pattern recognition; Shape measurement; Shearing; Testing; Transmission line matrix methods;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.276127
Filename :
276127
Link To Document :
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