Nonparametric multiscale energy-based model and its application in some imagery problems

IEEE Transactions on Pattern Analysis and Machine Intelligence
M Mignotte

Abstract

This paper investigates the use of a nonparametric regularization energy term for devising a example-based rendering and segmentation technique. We have stated this problem in the multiresolution energy minimization framework and exploited the multiscale structure proposed by Wei and Levoy for the texture synthesis problem. In this nonparametric energy minimization framework, we also propose a computationally efficient coarse-to-fine recursive optimization method to minimize the cost function related to this hierarchical model. In this context, the formulation of our example-based regularization term also allows to directly infer an intuitive dissimilarity measure between two contour shapes. This measure is herein exploited to define an efficient shape descriptor for the contour-based shape recognition and indexing problem.

References

Feb 12, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·M MignotteP Bouthemy
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·E Mémin, P Pérez
Jan 1, 1997·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·S Krishnamachari, R Chellappa
Jan 1, 1997·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·K Popat, R W Picard
Jun 1, 1986·IEEE Transactions on Pattern Analysis and Machine Intelligence·J Canny
Jun 1, 1984·IEEE Transactions on Pattern Analysis and Machine Intelligence·S Geman, D Geman

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Citations

Mar 17, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Max Mignotte
Jan 25, 2011·IEEE Transactions on Neural Networks·Max Mignotte
Nov 22, 2011·American Journal of Pharmaceutical Education·Nalin PayakachatMatthew M Murawski

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