NDLI: Preserving accurate motion contours with reliable parameter selection

Content Provider	IEEE Xplore Digital Library
Author	Sanchez, Javier Salgado, Agustin Monzon, Nelson
Copyright Year	2014
Description	Author affiliation: Centro de Tecnologías de la Imagen (CTIM), Department of Computer Science University of Las Palmas de Gran Canaria 35017 Las Palmas de Gran Canaria, Spain (Sanchez, Javier; Salgado, Agustin; Monzon, Nelson)
Abstract	The use of decreasing functions, for mitigating the regularization at image contours, is typical in many recent optical flow methods. However, finding the correct parameter for getting the best of this strategy is challenging. Most of the methods use default parameters that are conservative, providing results that are not better than traditional approaches. Configurations that clearly enhance discontinuities may produce instabilities in the computed optical flows. This is due to the fact that the regularization process may get cancelled, yielding an ill-posed problem. In this work, we analyze the problem of instabilities and propose a method for efficiently determining the value of the parameter. We show that this approach allows us to obtain well preserved discontinuities at the same time that it avoids the ill-posed problem. The experiments with synthetic sequences demonstrate that the results are accurate and the selected parameter is close to the optimal value.
Starting Page	209
Ending Page	213
File Size	280636
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025041
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical imaging Integrated optics Nonlinear optics Computer vision Estimation Adaptive optics TV Discontinuity-Preserving Optical Flow Motion Estimation Image Motion Analysis
Content Type	Text
Resource Type	Article

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