Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52766
Title: Robust discontinuity preserving optical flow methods
Authors: Monzon, Nelson 
Salgado de la Nuez, Agustín 
Sanchez, Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Optical flow
Motion estimation
Regularization strategies
Discontinuity-preserving
Issue Date: 2016
Publisher: 2105-1232
Journal: Image Processing On Line 
Abstract: In this work, we present an implementation of discontinuity-preserving strategies in TV-L1 optical flow methods. These are based on exponential functions that mitigate the regularization at image edges, which usually provide precise flow boundaries. Nevertheless, if the smoothing is not well controlled, it may produce instabilities in the computed motion fields. We present an algorithm that allows three regularization strategies: the first one uses an exponential function together with a TV process; the second one combines this strategy with a small constant that ensures a minimum isotropic smoothing; the third one is a fully automatic approach that adapts the diffusion depending on the histogram of the image gradients. The last two alternatives are aimed at reducing the effect of instabilities. In the experiments, we observe that the pure exponential function is highly unstable while the other strategies preserve accurate motion contours for a large range of parameters.
URI: http://hdl.handle.net/10553/52766
ISSN: 2105-1232
DOI: 10.5201/ipol.2016.172
Source: Image Processing On Line [ISSN 2105-1232], v. 6, p. 165-182
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