DocumentCode :
1887249
Title :
Optical Flow Computation on Compute Unified Device Architecture
Author :
Mizukami, Yoshiki ; Tadamura, Katsumi
Author_Institution :
Yamaguchi Univ., Ube
fYear :
2007
fDate :
10-14 Sept. 2007
Firstpage :
179
Lastpage :
184
Abstract :
In this study, the implementation of an image processing technique on compute unified device architecture (CUDA) is discussed. CUDA is a new hardware and software architecture developed by NVIDIA Corporation for the general- purpose computation on graphics processing units. CUDA features an on-chip shared memory with very fast general read and write access, which enables threads in a block to share their data effectively. CUDA also provides a user- friendly development environment through an extension to the C programming language. This study focused on CUDA implementation of a representative optical flow computation proposed by Horn and Schunck in 1981. Their method produces the dense displacement field and has a straightforward processing procedure. A CUDA implementation of Horn and Schunck´s method is proposed and investigated based on simulation results.
Keywords :
digital signal processing chips; image sequences; software architecture; C programming language; CUDA; compute unified device architecture; graphics processing units; hardware architecture; image processing technique; on-chip shared memory; optical flow computation; software architecture; Computer architecture; Graphics; Hardware; Image motion analysis; Image processing; Optical computing; Optical devices; Read-write memory; Software architecture; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
Type :
conf
DOI :
10.1109/ICIAP.2007.4362776
Filename :
4362776
Link To Document :
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