Title :
Stereo depth with a Unified Architecture GPU
Author :
Gibson, Joel ; Marques, Oge
Author_Institution :
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL
Abstract :
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.
Keywords :
computer graphic equipment; image matching; stereo image processing; Compute Unified Device Architecture; semiglobal matching algorithm; stereo image depth; unified architecture GPU; Acceleration; Computer architecture; Computer science; Costs; Feedback; Graphics; Optimization; Pixel; Taxonomy; Yarn;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
DOI :
10.1109/CVPRW.2008.4563092
