Suitability of non-parametric stereo matching algorithms for mining automation
Banks, Jasmine, Bennamoun, Mohammed, Kubik, Kurt, & Corke, Peter (1998) Suitability of non-parametric stereo matching algorithms for mining automation. Australian Journal of Intelligent Information Processing Systems, 5(2), pp. 111-119.
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 assesses the suitability of a number of matching techniques for use in a stereo vision sensor for close range scenes consisting primarily of rocks. These include traditional area-based matching metrics, and non-parametric transforms, in particular, the rank and census transforms. Experimental results show that the rank and census transforms exhibit a number of clear advantages over area-based matching metrics, including their low computational complexity, and robustness to certain types of distortion.
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|Item Type:||Journal Article|
|Keywords:||stereo vision, image matching, area-based techniques, rank transform, census transform|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 1998 Australian National University|
|Deposited On:||10 Dec 2012 22:28|
|Last Modified:||10 Dec 2012 22:29|
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