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CVPR
2011
IEEE
13 years 5 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
WWW
2009
ACM
14 years 10 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
CVPR
2008
IEEE
14 years 11 months ago
Increasing the density of Active Appearance Models
Active Appearance Models (AAMs) typically only use 50-100 mesh vertices because they are usually constructed from a set of training images with the vertices hand-labeled on them. ...
Krishnan Ramnath, Simon Baker, Iain Matthews, Deva...
ICPR
2004
IEEE
14 years 10 months ago
Face Recognition Based on the Appearance of Local Regions
Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images ...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
WACV
2002
IEEE
14 years 2 months ago
Eye Typing using Markov and Active Appearance Models
We propose a non-intrusive eye tracking system intended for the use of everyday gaze typing using web cameras. We argue that high precision in gaze tracking is not needed for on-s...
Dan Witzner Hansen, John Paulin Hansen, Mads Niels...