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PAMI
2007
129views more  PAMI 2007»
13 years 4 months ago
Algorithmic Differentiation: Application to Variational Problems in Computer Vision
Abstract— Many vision problems can be formulated as minimization of appropriate energy functionals. These energy functionals are usually minimized, based on the calculus of varia...
Thomas Pock, Michael Pock, Horst Bischof
ISCAS
1999
IEEE
93views Hardware» more  ISCAS 1999»
13 years 8 months ago
Problems of computing Lyapunov exponents in power electronics
Ideal power converters are governed by differential equations with discontinuous right-hand sides. General-purpose algorithms to compute their Lyapunov exponents assume smooth equ...
Y. H. Lim, D. C. Hamill
JMIV
2008
106views more  JMIV 2008»
13 years 4 months ago
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
Vector fields arise in many problems of computer vision, particularly in non-rigid registration. In this paper, we develop coupled partial differential equations (PDEs) to estimat...
Gozde B. Unal, Greg G. Slabaugh
VLSM
2005
Springer
13 years 10 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
CVPR
2004
IEEE
14 years 6 months ago
A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of pol...
Jacopo Piazzi, René Vidal, Yi Ma