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» Markov Random Field Models in Computer Vision
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ICPR
2006
IEEE
16 years 2 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
CVPR
2003
IEEE
16 years 3 months ago
Implicit Meshes for Modeling and Reconstruction
Explicit surfaces, such as triangulations or wireframe models, have been extensively used to represent the deformable 3?D models that are used to fit 3?D point and 2?D silhouette ...
Slobodan Ilic, Pascal Fua
ICPR
2008
IEEE
15 years 8 months ago
Automatic road sign detection method based on Color Barycenters Hexagon model
Road sign detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a novel model based on Color Barycenters Hexagon (C...
Qieshi Zhang, Sei-ichiro Kamata
BMVC
2010
14 years 11 months ago
A principled approach to remove false alarms by modelling the context of a face detector
In this article we present a new method to enhance object detection by removing false alarms in a principled way with few parameters. The method models the output of an object cla...
Cosmin Atanasoaei, Chris McCool, Sébastien ...
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CVPR
2005
IEEE
16 years 3 months ago
A Hybrid Graphical Model for Robust Feature Extraction from Video
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
Ali Taylan Cemgil, Wojciech Zajdel, Ben J. A. Kr&o...