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

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

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.

Philip L. Davidson | Jefferson Y. Han | Ilya D. Rosenberg | Casey M. R. Muller | C. Muller

[1] D. Scharstein,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

[2] H. Hirschmüller. Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information , 2005, CVPR.