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» Detecting Irregularities in Images and in Video
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ECCV
2006
Springer
13 years 11 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
PAMI
2006
229views more  PAMI 2006»
13 years 7 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
IJCV
2007
113views more  IJCV 2007»
13 years 7 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar
PAMI
2010
249views more  PAMI 2010»
13 years 5 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
ICCV
2009
IEEE
15 years 9 days ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...