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CVPR
2007
IEEE
16 years 1 days ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CVPR
2008
IEEE
16 years 1 days ago
Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
George Papandreou, Petros Maragos
CVPR
2008
IEEE
16 years 1 days ago
Segmentation by transduction
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statis...
Florent Ségonne, Jean Ponce, Jean-Yves Audi...
ECCV
2004
Springer
15 years 12 months ago
Weighted Minimal Hypersurfaces and Their Applications in Computer Vision
Abstract. Many interesting problems in computer vision can be formulated as a minimization problem for an energy functional. If this functional is given as an integral of a scalar-...
Bastian Goldlücke, Marcus A. Magnor
ECCV
2004
Springer
15 years 12 months ago
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination
We consider the problem of image comparison in order to match smooth surfaces under varying illumination. In a smooth surface nearby surface normals are highly correlated. We model...
Margarita Osadchy, Michael Lindenbaum, David W. Ja...