DocumentCode :
2041517
Title :
A novel method of enhancing Fourier descriptors for 3-D planar shape recognition
Author :
Man, G.M.T. ; Poon, J.C.H.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Volume :
2
fYear :
1993
fDate :
19-21 Oct. 1993
Firstpage :
1025
Abstract :
A new method of recognizing a two dimensional (2D) shape of a single perspective image taken from an unknown viewpoint is presented. This method is based on a set of new defined Fourier descriptors (FDs) to describe the contour of a planar shape lying in the three dimensional (3D) domain. In order to generate the 3D planar image from the 2D perspective image, we use inverse paraperspective transformation instead of general inverse perspective transformation. Based on the linear approximation of the transformation, new FDs for the 3D planar contour have been developed. They are proved to be merely dependent on the FDs of the 2D contour of the projected image and the slope of the world plane. Thereafter, opportunities for simple and efficient computation for 3D planar shape recognition can be realised.<>
Keywords :
Fourier transforms; computational geometry; image recognition; 2D perspective image; 3D planar contour; 3D planar image; 3D planar shape recognition; Fourier descriptors; contour; defined Fourier descriptors; general inverse perspective transformation; inverse paraperspective transformation; linear approximation; planar shape; projected image; single perspective image; three dimensional domain; two dimensional shape; unknown viewpoint; world plane; Application software; Biological cells; Character recognition; Computer vision; Image recognition; Linear approximation; Mirrors; Reflection; Shape; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
Type :
conf
DOI :
10.1109/TENCON.1993.320188
Filename :
320188
Link To Document :
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