First
Int'l Workshop on
Statistical and Computational Theories of Vision
Statistical and Computational Theories of Vision
-- Modeling, Learning, Computing, and Sampling
Selected papers are published in two special issues of
Int'l Journal of Computer Vision
1st Issue in October 2000 and 2nd Issue in January 2001.
Scope, Program Committee, and contact information
Proc. of IEEE workshop on Statistical and
Computational Theories of Vision, Fort Collins, Co, June, 1999
Proceedings of the Workshop
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Session 1. Statistics of Natural Imagery and Modeling:
Invariant Statistics and coding of Natural Microimages
Donald Geman and Alexey Koloydenko
An Occlusion Model Generating Scale-Invariant Images
Ann Lee and David Mumford
Texture representation and synthesis using correlation of complex wavelet
coefficient magnitudes
Javier Portilla and Eero Simoncelli
Session 2. Markov random field theory and Low level Vision
Meaningful Aligments
A. Desolneux, L. Moisan and J. M. Morel
Markov networks for low level vision
Bill Freeman and Egon Pasztor
An equivalence Theorem for mixed Markov fields
Artur Fridman
Session 3: Learning in Computer Vision:
Graded learning for object detection
Francois Fleuret and Donald Geman
Learning behavior manifold for recognition and synthesis
Matthew Brand
Gradient-Based learning for object detection, segmentation and recognition
Yann LeCun, Patrick Haffner, Leon Bottou, and Yoshua Bengio
Session 4: Fundamental Bounds in Computer Vision
Visual Search: fundamental bounds, order parameters,...
Alan. Yuille and James Caughlan
Exploring the Julesz Ensemble by Efficient Markov Chain Monte Carlo
S.C. Zhu, X. Liu and Y.N. Wu
Session 5: Bayes Statistics and Psychophysics.
The statistics of visual correspondence: insights into the visual system
Cornelia Fermuller, Robert Pless and Yiannis Aloimonos
Statistical structure and task dependence in visual cue integration
Paul Schrater and Daniel Kersten
Session 6: Object detection by MCMC sampling and Pattern Theory
The joy of sampling
David Forsyth, S. Loffe, and J. Haddon
Group actions, homomorphisma, and matching: a general framework
M. Miller and L Younes,
