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» Computational methods for understanding 3D shapes
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ECCV
2002
Springer
14 years 10 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
IJCV
2002
99views more  IJCV 2002»
13 years 8 months ago
Subjective Surfaces: A Geometric Model for Boundary Completion
We present a geometric model and a computational method for segmentation of images with missing boundaries. In many situations, the human visual system fills in missing gaps in ed...
Alessandro Sarti, Ravi Malladi, James A. Sethian
RECOMB
1999
Springer
14 years 1 months ago
Fast detection of common geometric substructure in proteins
We consider the problem of identifying common three-dimensional substructures between proteins. Our method is based on comparing the shape of the α-carbon backbone structures of ...
L. Paul Chew, Daniel P. Huttenlocher, Klara Kedem,...
ICCV
2009
IEEE
15 years 1 months ago
A linear formulation of shape from specular flow
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or specular flow— on the image plane that observes it. This specular flow is r...
Guillermo D. Canas, Yuriy Vasilyev, Yair Adato, To...
CVPR
2006
IEEE
14 years 11 months ago
Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis
Helmholtz stereopsis is a surface reconstruction method that exploits reciprocity for the recovery of 3D shape without an assumed BRDF model, and it has been shown to yield high q...
Todd Zickler