A versatile stereo implementation on commodity graphics hardware

  • Authors:
  • Ruigang Yang;Marc Pollefeys

  • Affiliations:
  • University of Kentucky, Lexington, KY, USA;University of North Carolina, Chapel Hill, NC, USA

  • Venue:
  • Real-Time Imaging
  • Year:
  • 2005

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Abstract

This paper presents a detailed description of a real-time correlation-based stereo algorithm running completely on the graphics processing unit (GPU). This is important since it allows to free up the main processor for other tasks including high-level interpretation of the stereo results. We first introduce a two-view stereo algorithm that includes some advanced features such as adaptive windows and cross-checking. Then we extend it using a plane-sweep approach to allow multiple frames without rectification. By taking advantage of advanced features of recent GPUs the proposed algorithm runs in real-time. Our implementation running on an ATI Radeon 9800 graphics card achieves up to 289 million disparity evaluations per second including all the overhead to download images and read-back the disparity map, which is several times faster than commercially available CPU-based implementations.