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Fast Stereo Matching: Coarser to Finer with Selective Updating

Cai, Jinhai (2007) Fast Stereo Matching: Coarser to Finer with Selective Updating. In Image and Vision Computing New Zealand 2007, 5-7 December, Hamilton, New Zealand.

Abstract

A coarse to fine approach for fast stereo matching is presented. In this approach, a dynamic programming (DP) based algorithm at the top of the pyramid is applied to obtain an initial coarse dense disparity map of high quality and to reduce computational cost. In each finer layer, a new dense disparity map is inherited from the coarser layer by interpolation. The new dense disparity map will be updated only in selected areas, instead of the whole map, according to the local matching cost and the depth difference among neighbouring areas. In this way, the proposed approach is able to obtain a smooth dense disparity map and to preserve discontinuity as well. The approach is evaluated using rectified stereo images and good results are achieved in terms of quality and running speed.

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307 since deposited on 19 Dec 2007
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ID Code: 11228
Item Type: Conference Paper
Additional Information: For more information, please refer to the conference website (see hypertext link) or contact the author.
Additional URLs:
Keywords: Stereo matching, coarse to fine approach, dynamic programming, selective updating, fast algorithm, pyramid
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: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 (please consult author)
Deposited On: 19 Dec 2007
Last Modified: 29 Feb 2012 23:38

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