DocumentCode
3356249
Title
Coarse-to-fine optical flow estimation with image structure tensor
Author
Zhen Chen ; Congxuan Zhang ; Ming Li
Author_Institution
Sch. of Meas. & Opt. Eng., Nanchang Hangkong Univ., Nanchang, China
Volume
2
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
741
Lastpage
746
Abstract
This paper proposes a novel coarse-to-fine optical flow method based on the image local structure tensor. The data term of the optical flow model is projected by combining the proposed structure tensor constancy assumption and the grey value constancy assumption with the robust penalty function, and an isotropic nonlinear function is planned to smoothing term. With the coarse-to-fine multiscale warping strategy, a linear iteration scheme is established. Several experimental results of the Middlebury sequences show that the presented method is high accuracy and good robustness.
Keywords
image sequences; iterative methods; tensors; coarse-to-fine multiscale warping strategy; grey value constancy assumption; image local structure tensor; isotropic nonlinear function; linear iteration scheme; middlebury sequences; novel coarse-to-fine optical flow method; robust penalty function; structure tensor constancy assumption; Computer vision; Image motion analysis; Nonlinear optics; Optical imaging; Optical sensors; Smoothing methods; Tensile stress; coarse-to-fine; isotropic smoothing; optical flow; structure tensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6745263
Filename
6745263
Link To Document