2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Stereo depth with a Unified Architecture GPU Anchorage, AK, USA June 23-June 28 ISBN: 978-1-4244-2339-2
This paper describes how the calculation of depth from stereo images was accelerated using a GPU. The Compute Unified Device Architecture (CUDA) from NVIDIA was employed in novel ways to compute depth using BT cost matching and the Semi-Global Matching algorithm. The challenges of mapping a sequential algorithm to a massively parallel thread environment and performance optimization techniques are considered.
Citation:
Joel Gibson, Oge Marques, "Stereo depth with a Unified Architecture GPU," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||