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ICCV
2003
IEEE
14 years 9 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
CVPR
2006
IEEE
14 years 9 months ago
Simultaneous Registration and Modeling of Deformable Shapes
Many natural objects vary the shapes as linear combinations of certain bases. The measurement of such deformable shapes is coupling of rigid similarity transformations between the...
Jing Xiao, Bogdan Georgescu, Xiang Zhou, Dorin Com...
3DPVT
2004
IEEE
231views Visualization» more  3DPVT 2004»
13 years 11 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
ICPR
2002
IEEE
14 years 17 days ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
PR
2002
103views more  PR 2002»
13 years 7 months ago
Extracting moving shapes by evidence gathering
Many approaches can track objects moving in sequences of images but can su er in occlusion and noise, and often require initialisation. These factors can be handled by techniques ...
Michael G. Grant, Mark S. Nixon, Paul H. Lewis