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» Recovering 3D Human Pose from Monocular Images
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CVPR
2005
IEEE
15 years 11 months ago
Indexing with Unknown Illumination and Pose
The task of identifying 3D objects in 2D images is difficult due to variation in objects' appearance with changes in pose and lighting. The task is further complicated by the...
Ira Kemelmacher, Ronen Basri
PAMI
2011
14 years 4 months ago
Linear Local Models for Monocular Reconstruction of Deformable Surfaces
—Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both ambiguous and challenging. Resolving the ambiguities typically requires prior knowledge...
Mathieu Salzmann, Pascal Fua
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 3 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
MLMI
2007
Springer
15 years 3 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
SI3D
2006
ACM
15 years 3 months ago
Human hand modeling from surface anatomy
The human hand is an important interface with complex shape and movement. In virtual reality and gaming applications the use of an individualized rather than generic hand represen...
Taehyun Rhee, Ulrich Neumann, John P. Lewis