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
fDate :
3/1/1994 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on