Fast and robust stereo matching algorithms for mining automation
Data(s) |
01/07/1999
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Resumo |
The mining environment, being complex, irregular and time varying, presents a challenging prospect for stereo vision. For this application, speed, reliability, and the ability to produce a dense depth map are of foremost importance. This paper evaluates a number of matching techniques for possible use in a stereo vision sensor for mining automation applications. Area-based techniques have been investigated because they have the potential to yield dense maps, are amenable to fast hardware implementation, and are suited to textured scenes. In addition, two non-parametric transforms, namely, the rank and census, have been investigated. Matching algorithms using these transforms were found to have a number of clear advantages, including reliability in the presence of radiometric distortion, low computational complexity, and amenability to hardware implementation. |
Formato |
application/pdf |
Identificador | |
Publicador |
Academic Press |
Relação |
http://eprints.qut.edu.au/55375/1/dsp.pdf DOI:10.1006/dspr.1999.0337 Banks, Jasmine, Bennamoun, Mohammed, & Corke, Peter (1999) Fast and robust stereo matching algorithms for mining automation. Digital Signal Processing, 9(3), pp. 137-148. |
Direitos |
Copyright 1999 Academic Press NOTICE: this is the author’s version of a work that was accepted for publication in Digital Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Digital Signal Processing [VOL 9, ISSUE 3, 1999] DOI: http://dx.doi.org/10.1006/dspr.1999.0337 |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080104 Computer Vision #080106 Image Processing #stereo vision #image matching #area-based matching #rank transform #census transform |
Tipo |
Journal Article |