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» Shape Priors using Manifold Learning Techniques
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 2 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SIGGRAPH
2003
ACM
15 years 7 months ago
Learning controls for blend shape based realistic facial animation
Blend shape animation is the method of choice for keyframe facial animation: a set of blend shapes (key facial expressions) are used to define a linear space of facial expression...
Pushkar Joshi, Wen C. Tien, Mathieu Desbrun, Frede...
WACV
2007
IEEE
15 years 8 months ago
Warped Document Image Restoration Using Shape-from-Shading and Physically-Based Modeling
With the pervasive use of handheld digital devices such as camera phones and PDAs, people have started to capture images as a way of recording information. However, due to the non...
Li Zhang, Chew Lim Tan
TIP
2010
188views more  TIP 2010»
15 years 8 days ago
On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets
—We address the problem of face recognition by matching image sets. Each set of face images is represented by a subspace (or linear manifold) and recognition is carried out by su...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ACCV
2007
Springer
15 years 8 months ago
Learning Generative Models for Monocular Body Pose Estimation
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...