Multi-resolution real-time stereo on commodity graphics hardware

  • Authors:

  • Ruigang Yang;Marc Pollefeys

  • Affiliations:

  • Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

  • Venue:
  • CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
  • Year:
  • 2003

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Abstract

In this paper a stereo algorithm suitable for implementation on commodity graphics hardware is presented. This is important since it allows to free up the main processor for other tasks including high-level interpretation of the stereo results. Our algorithm relies on the traditional sum-of-square-differences (SSD) dissimilarity measure between correlation windows. To achieve good results close to depth discontinuities as well as on low texture areas a multiresolution approach is used. The approach efficiently combines SSD measurements for windows of different sizes. Our implementation running on an NVIDIA GeForce4 graphics card achieves 50-70M disparity evaluations per second including all the overhead to download images and read-back the disparity map, which is equivalent to the fastest commercial CPU implementations available. An important advantage of our approach is that rectification is not necessary so that correspondences can just as easily be obtained for images that contain the epipoles. Another advantage is that this approach can easily be extended to multibaseline stereo.