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» Covariant Derivatives and Vision
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ICCV
2007
IEEE
15 years 12 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black
ICCV
2007
IEEE
15 years 12 months ago
A Symmetry-Based Generative Model for Shape
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
Nhon H. Trinh, Benjamin B. Kimia
ICCV
2005
IEEE
15 years 12 months ago
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
This paper tackles an important aspect of the variational problems involving active contours, which has been largely overlooked so far: the optimization by gradient flows. Classic...
Guillaume Charpiat, Renaud Keriven, Jean-Philippe ...
ICCV
2005
IEEE
15 years 12 months ago
Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions
In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the object from a single image. We assume that t...
Kenji Hara, Ko Nishino, Katsushi Ikeuchi
ICCV
2005
IEEE
15 years 12 months ago
Eliminating Structure and Intensity Misalignment in Image Stitching
The aim of this paper is to achieve seamless image stitching for eliminating obvious visual artifact caused by severe intensity discrepancy, image distortion and structure misalig...
Jiaya Jia, Chi-Keung Tang