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An energy minimisation approach to attributed graph regularisation
conference contribution
posted on 2007-01-01, 00:00 authored by Z Fu, Antonio Robles-KellyAntonio Robles-KellyIn this paper, we propose a novel approach to graph regularisation based on energy minimisation. Our method hinges in the use of a Ginzburg-Landau functional whose extremum is achieved efficiently by a gradient descend optimisation process. As a result of the treatment given in this paper to the regularisation problem, constraints can be enforced in a straightforward manner, This provides a means to solve a number of problems in computer vision and pattern recognition, To illustrate the general nature of our graph regularisation algorithm, we show results on two application vehicles, photometric stereo and image segmentation. Our experimental results demonstrate the efficacy of our method for both applications under study. © Springer-Verlag Berlin Heidelberg 2007.
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Volume
4679 LNCSPagination
71 - 86Publisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540741954Publication classification
E1.1 Full written paper - refereedTitle of proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Usage metrics
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