Voting method for stable range optical flow computation

Authors:
Atsushi Imiya;Daisuke Yamada
Affiliations:
Insutitute of Media and Information Technology, Chiba University, Japan;School of Science and Technology, Chiba University, Japan
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

Citing 3
Cited 0

An optimal-time algorithm for slope selection

SIAM Journal on Computing
Recovering 3-D motion parameters from optical flow field using randomized Hough transform

Pattern Recognition Letters
Efficient randomized algorithms for robust estimation of circular arcs and aligned ellipses

Computational Geometry: Theory and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

For the non-invasive imaging of moving organs, in this paper, we develop statistically accurate methods for the computation of optical flow. We formalise the linear flow field detection as a model-fitting problem which is solved by the least squares method. Then, we show random-ssampling-and-voting method for the computation of optical flow as model-fitting problem. We show some numerical examples which shows the performance of our method.