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.

[img]
Preview
PDF (1MB)

View at publisher

Abstract

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.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

63 since deposited on 10 Dec 2012
6 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 55373
Item Type: Journal Article
Refereed: Yes
Keywords: stereo vision, image matching, area-based techniques, rank transform, census transform
ISSN: 1321-2133
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page