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CGI
2001
IEEE
15 years 10 months ago
A Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of...
James Sinnott, Toby Howard
ICCV
2003
IEEE
16 years 8 months ago
Polarization-based Inverse Rendering from a Single View
This paper presents a method to estimate geometrical, photometrical, and environmental information of a singleviewed object in one integrated framework under fixed viewing positio...
Daisuke Miyazaki, Robby T. Tan, Kenji Hara, Katsus...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 3 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
SCIA
2009
Springer
306views Image Analysis» more  SCIA 2009»
16 years 6 months ago
Head Pose Estimation from Passive Stereo Images
We present an algorithm to estimate the 3D pose (location and orientation) of a previously unseen face from low-quality range images. The algorithm generates many pose candidates ...
C. Høilund, J. Jensen, Luc J. Van Gool, Mic...
CVPR
2004
IEEE
16 years 8 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs