Optical Flow Computation on Compute Unified Device Architecture
Yamaguchi University, Japan
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on In Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on (2007), pp. 179-184
@article{mizukami2007optical,
title={Optical flow computation on compute unified device architecture},
author={Mizukami, Y. and Tadamura, K.},
year={2007},
publisher={IEEE Computer Society}
}
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.
December 5, 2010 by hgpu
