A generic implementation framework for stereo matching algorithms

Banks, Jasmine, Porter, Reid, Bennamoun, Mohammed, & Corke, Peter (1997) A generic implementation framework for stereo matching algorithms. In Chaplin, Bob I. & Page, Wyatt H. (Eds.) DICTA'97 and IVCNZ'97 Conference Proceedings, The Department of Production Technology, Massey University, Auckland, New Zealand, pp. 29-34.

Abstract

Traditional area-based matching techniques make use of similarity metrics such as the Sum of Absolute Differences(SAD), Sum of Squared Differences (SSD) and Normalised Cross Correlation (NCC). Non-parametric matching algorithms such as the rank and census rely on the relative ordering of pixel values rather than the pixels themselves as a similarity measure. Both traditional area-based and non-parametric stereo matching techniques have an algorithmic structure which is amenable to fast hardware realisation.

This investigation undertakes a performance assessment of these two families of algorithms for robustness to radiometric distortion and random noise. A generic implementation framework is presented for the stereo matching problem and the relative hardware requirements for the various metrics investigated.

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ID Code: 55371
Item Type: Conference Paper
Refereed: Yes
Keywords: stereo vision, image matching, area-based matching, rank transform, census transform, hardware implementation
ISBN: 0473049473
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)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Circuits and Systems (090601)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 1997 [please consult the author]
Deposited On: 11 Dec 2012 00:59
Last Modified: 11 Dec 2012 03:35

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