“Real-time stereo vision using semi-global matching on programmable graphics hardware” by Rosenberg, Davidson, Muller and Han

  • ©Ilya D. Rosenberg, Philip L. Davidson, Casey M. R. Muller, and Jefferson Y. Han

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Title:

    Real-time stereo vision using semi-global matching on programmable graphics hardware

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Abstract:


    Extracting depth information from pairs of stereo images in real-time allows interactive 3d operations on live video streams. We present a novel adaptation of the Semi-Global Matching (SGM) Algorithm [Hirschmüller 2005] to graphics processing (GPU) hardware, which operates in real-time and frees the CPU for other tasks. We also present shaders which use the extracted depth information to manipulate the video stream in real time.

References:


    1. Hirschmüller, H. 2005. Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 807–814.
    2. Scharstein, D. and Szeliski, R. 2002. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. In International Journal of Computer Vision 47, 1–3 (Apr. 2002), 7–42.


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