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» A hierarchical model of data locality
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BMVC
2010
14 years 8 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
PR
2007
216views more  PR 2007»
14 years 9 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
GMP
2008
IEEE
128views Solid Modeling» more  GMP 2008»
15 years 4 months ago
A Multistep Approach to Restoration of Locally Undersampled Meshes
The paper deals with the problem of remeshing and fairing of undersampled areas (called ”holes”) in triangular meshes. In this work, we are particularly interested in meshes co...
Alexandra Bac, Nam-Van Tran, Marc Daniel
ICIP
2004
IEEE
15 years 11 months ago
Deformable structural models
A hierarchical framework for the recognition of complex deformable shapes is developed. In extension to traditional approaches an additional layer of control is introduced to guid...
Klaus D. Tönnies, Stephan Al-Zubi, Steven Ber...
ACCV
2009
Springer
15 years 4 months ago
Human Action Recognition Using HDP by Integrating Motion and Location Information
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Yasuo Ariki, Takuya Tonaru, Tetsuya Takiguchi