Image-gradient-guided real-time stereo on graphics hardware

Minglun Gong, Ruigang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

46 Scopus citations

Abstract

We present a real-time correlation-based stereo algorithm with improved accuracy. Encouraged by the success of recent stereo algorithms that aggregate the matching cost based on color segmentation, a novel image-gradient-guided cost aggregation scheme is presented in this paper. The new scheme is designed to fit the architecture of recent graphics processing units (GPUs). As a result, our stereo algorithm can run completely on the graphics board: from rectification, matching cost computation, cost aggregation, to the final disparity selection. Compared with many real-time stereo algorithms that use fixed windows, noticeable accuracy improvement has been obtained without sacrificing realtime performance. In addition, existing global optimization algorithms can also benefit from the new cost aggregation scheme. The effectiveness of our approach is demonstrated with several widely used stereo datasets and live data captured from a stereo camera.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005
Pages548-555
Number of pages8
DOIs
StatePublished - 2005
Event5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005 - Ottawa, ON, Canada
Duration: Jun 13 2005Jun 16 2005

Publication series

NameProceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM
ISSN (Print)1550-6185

Conference

Conference5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005
Country/TerritoryCanada
CityOttawa, ON
Period6/13/056/16/05

Keywords

  • Graphics hardware
  • Real-time stereo

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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