A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Mutual Information Based Semi-Global Stereo Matching on the GPU
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Image based reconstruction using hybrid optimization of simulated annealing and genetic algorithm
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Towards optimal stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Efficient stereo and optical flow with robust similarity measures
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Parking assistance using dense motion-stereo
Machine Vision and Applications
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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.