Realtime dense stereo matching with dynamic programming in CUDA

Resumen

Real-time depth extraction from stereo images is an important process in computer vision -- This paper proposes a new implementation of the dynamic programming algorithm to calculate dense depth maps using the CUDA architecture achieving real-time performance with consumer graphics cards -- We compare the running time of the algorithm against CPU implementation and demonstrate the scalability property of the algorithm by testing it on different graphics cards

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Citación

@inproceedings{2009_Congote_Realtime, title={Realtime Dense Stereo Matching with Dynamic Programming in CUDA}, author={Congote, J. and Barandiaran, I. and Barandiaran, J. and Ruiz, O.}, booktitle={ XIX Spanish Congress of Graphical Informatics}, pages={231--234}, isbn={978-3-905673-72-2}, address={Donostia - San Sebastian, Spain}, year={2009}, }