A framework for a dense matching algorithm : Results using matching metrics and order statistic filters

Banks, Jasmine (2001) A framework for a dense matching algorithm : Results using matching metrics and order statistic filters. In Proceedings of the International Conference on Augmented, Virtual Environments and Three-Dimensional Imaging (ICAV3D’01), Santa Marina Hotel, Ornos, Mykonos, Greece.

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An algorithm for computing dense correspondences between images of a stereo pair or image sequence is presented. The algorithm can make use of both standard matching metrics and the rank and census filters, two filters based on order statistics which have been applied to the image matching problem. Their advantages include robustness to radiometric distortion and amenability to hardware implementation. Results obtained using both real stereo pairs and a synthetic stereo pair with ground truth were compared.

The rank and census filters were shown to significantly improve performance in the case of radiometric distortion. In all cases, the results obtained were comparable to, if not better than, those obtained using standard matching metrics. Furthermore, the rank and census have the additional advantage that their computational overhead is less than these metrics. For all techniques tested, the difference between the results obtained for the synthetic stereo pair, and the ground truth results was small.

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ID Code: 58756
Item Type: Conference Paper
Refereed: Yes
Keywords: stereo matching, area-based, rank filter, census filter
Subjects: 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 2001 Please consult the author.
Deposited On: 27 Mar 2013 22:17
Last Modified: 28 Mar 2013 17:43

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