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» Model generation for video-based object recognition
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JMLR
2010
192views more  JMLR 2010»
13 years 2 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
ACCV
1998
Springer
13 years 11 months ago
Shape Modeling from Multiple View Images Using GAs
Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method...
Satoshi Kirihara, Hideo Saito
ICPR
2008
IEEE
14 years 8 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
CAPTECH
1998
Springer
13 years 11 months ago
3D Part Recognition Method for Human Motion Analysis
A method for matching sequences from two perspective views of a moving person silhouette is presented. Regular (approximate uniform thickness) parts are detected on an image and a ...
Carlos Yániz, Jairo Rocha, Francisco J. Per...
ICMCS
2006
IEEE
134views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Motion Segmentation of 3D Video using Modified Shape Distribution
In this paper, temporal segmentation of 3D video based on motion analysis is presented. 3D video is a sequence of 3D models made for a real-world dynamic object. A modified shape ...
Toshihiko Yamasaki, Kiyoharu Aizawa