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» Statistical Models of Appearance for Computer Vision
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ECCV
2004
Springer
16 years 5 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
ACCV
2006
Springer
15 years 9 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang
ICCV
2007
IEEE
15 years 5 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
ICCV
2005
IEEE
15 years 9 months ago
Fast Texture-Based Tracking and Delineation Using Texture Entropy
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
Ali Shahrokni, Tom Drummond, Pascal Fua
ECCV
1996
Springer
16 years 5 months ago
Imposing Hard Constraints on Soft Snakes
An approach is presented for imposing generic hard constraints on deformable models at a low computational cost, while preserving the good convergence properties of snake-like mod...
Pascal Fua, Christian Brechbühler