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 :
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