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» Estimating Alignment Errors in Sets of Images
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TIP
2008
185views more  TIP 2008»
14 years 9 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
CVPR
2003
IEEE
15 years 11 months ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
TSP
2008
179views more  TSP 2008»
14 years 9 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
ECCV
2008
Springer
15 years 11 months ago
A Perceptual Comparison of Distance Measures for Color Constancy Algorithms
Abstract. Color constancy is the ability to measure image features independent of the color of the scene illuminant and is an important topic in color and computer vision. As many ...
Arjan Gijsenij, Theo Gevers, Marcel P. Lucassen
CVPR
2010
IEEE
15 years 6 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth