Title :
Optical flow constraint in homogeneous coordinate and its application to optimal velocity estimation
Author_Institution :
Kumamoto Univ., Japan
Abstract :
A method of estimating optical flow by introducing a projective space of two-dimensional velocity is proposed. This approach make it possible to analyze measurement error in both spatial- and temporal-differential coefficients of image in a unified manner. In this projective space, velocity estimation can be formulated based on singular value decomposition. It is proved from simulations that estimation error in velocity can be reduced.
Keywords :
image sequences; motion estimation; optimisation; singular value decomposition; 2D velocity; SVD; estimation error reduction; homogeneous coordinate; measurement error analysis; optical flow constraint; optical flow estimation; optimal velocity estimation; projective space; singular value decomposition; spatial-differential coefficients; temporal-differential coefficients; Equations; Error analysis; Estimation error; Image analysis; Image motion analysis; Measurement errors; Optical noise; Optical sensors; Singular value decomposition; Working environment noise;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195191
