Title :
Optical flow estimation and error analysis in projective space
Author :
Yamaguchi, Teruo ; Shinbori, Hiroyasu
Author_Institution :
Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, 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 that under Gaussian noise condition, this method provides similar solution as expected in case of noise-free environment. It was shown from simulation and experiments that estimate error in velocity can be greatly reduced by the proposed algorithm.
Keywords :
Gaussian noise; error analysis; image motion analysis; image sequences; measurement errors; singular value decomposition; spatiotemporal phenomena; Gaussian noise condition; error analysis; image spatial-differential coefficients; image temporal-differential coefficients; measurement error analysis; noise-free environment; optical flow estimation; projective space; singular value decomposition; two-dimensional velocity; velocity estimation; Adaptive optics; Equations; Integrated optics; Mathematical model; Optical imaging; Optical sensors; Vectors; Error analysis; Optical flow; Optimal velocity estimation; Projective space;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
