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» Modeling shapes and textures from images: new frontiers
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NIPS
2008
14 years 11 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
88
Voted
CVPR
2008
IEEE
15 years 11 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
131
Voted
CVPR
2011
IEEE
14 years 6 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
VR
2009
IEEE
188views Virtual Reality» more  VR 2009»
15 years 4 months ago
Crafting Personalized Facial Avatars Using Editable Portrait and Photograph Example
Computer-generated facial avatars have been increasingly used in a variety of virtual reality applications. Emulating the real-world face sculpting process, we present an interact...
Tanasai Sucontphunt, Zhigang Deng, Ulrich Neumann
AIR
1998
160views more  AIR 1998»
14 years 9 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...