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» Computational methods for understanding 3D shapes
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NIPS
2008
13 years 10 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
ICCSA
2003
Springer
14 years 2 months ago
Web Visualization of Function-Defined Shapes
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Alexei Sourin, Lai Feng Min, Konstantin Levinski
IJCV
2006
261views more  IJCV 2006»
13 years 9 months ago
Non-Rigid Stereo Factorization
In this paper we address the problem of recovering 3D non-rigid structure from a sequence of images taken with a stereo pair. We have extended existing non-rigid factorization algo...
Alessio Del Bue, Lourdes de Agapito
CVPR
1999
IEEE
14 years 11 months ago
Model-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...
SI3D
1999
ACM
14 years 1 months ago
Computing bounding volume hierarchies using model simplification
This paper presents a framework that uses the outputs of model simplification to guide the construction of bounding volume hierarchies for use in, for example, collision detection...
Tiow Seng Tan, Ket-Fah Chong, Kok-Lim Low