Paper Info
Title
Optical Flow Computation on Compute Unified Device Architecture
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 generalpurpose 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 userfriendly 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.
Year
DOI
Venue
2007
10.1109/ICIAP.2007.97
ICIAP
Keywords
Field
DocType
straightforward processing procedure,dense displacement field,compute unified device architecture,nvidia corporation,c programming language,generalpurpose computation,image processing technique,cuda implementation,general read,representative optical flow computation,optical flow computation,hardware architecture,software architecture,optical flow,development environment,chip,shared memory
Graphics,Shared memory,Computer science,CUDA,Parallel computing,Image processing,Thread (computing),Software architecture,CUDA Pinned memory,Hardware architecture
Conference
ISBN
Citations 
PageRank 
0-7695-2877-5
23
1.37
References 
Authors
10
2
Name
Order
Citations
PageRank
Yoshiki Mizukami1648.94
Katsumi Tadamura215616.44