A constraint to improve the reliability of stereo matching using the rank transform


Autoria(s): Banks, Jasmine; Bennamoun, Mohammed; Kubik, Kurt; Corke, Peter
Data(s)

15/03/1999

Resumo

The rank transform is a non-parametric technique which has been recently proposed for the stereo matching problem. The motivation behind its application to the matching problem is its invariance to certain types of image distortion and noise, as well as its amenability to real-time implementation. This paper derives an analytic expression for the process of matching using the rank transform, and then goes on to derive one constraint which must be satisfied for a correct match. This has been dubbed the rank order constraint or simply the rank constraint. Experimental work has shown that this constraint is capable of resolving ambiguous matches, thereby improving matching reliability. This constraint was incorporated into a new algorithm for matching using the rank transform. This modified algorithm resulted in an increased proportion of correct matches, for all test imagery used.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/55359/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/55359/1/icassp99.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=757552&tag=1

Banks, Jasmine, Bennamoun, Mohammed, Kubik, Kurt, & Corke, Peter (1999) A constraint to improve the reliability of stereo matching using the rank transform. In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Phoenix, Arizona, pp. 3321-3324.

Direitos

Copyright 1999 IEEE

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080104 Computer Vision #080106 Image Processing #stereo vision #image processing #rank transform
Tipo

Conference Paper