The Community for Technology Leaders
Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 721-725
J.W. Brandt , Sch. of Inf. Sci., JAIST, Ishikawa, Japan
ABSTRACT
Accurate gradient-based optical-flow estimation depends on accurate partial derivatives that are generally approximated by the use of finite-differencing convolution kernels. The consequent error in the first derivative estimate is approximately proportional to the third derivative of the input signal and leads to systematic errors in the optical-flow estimates. Simulations indicate that these errors tend to dominate other error sources, such as broad-band noise, unless the system is carefully tuned. The result suggests that the high-frequency attenuation of the finite-differencing kernel imposes a resolution limit on the estimated optical-flow field.<>
INDEX TERMS
image sequences, convolution, estimation theory, image resolution, error analysis, differentiation
CITATION

J. Brandt, "Analysis of bias in gradient-based optical-flow estimation," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 721-725.
doi:10.1109/ACSSC.1994.471546
86 ms
(Ver 3.3 (11022016))