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» Complexity of Inference in Graphical Models
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ICCV
2011
IEEE
12 years 10 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
SIBGRAPI
2008
IEEE
14 years 4 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
3DIM
2003
IEEE
14 years 3 months ago
Automatic Modeling of Animatable Virtual Humans - A Survey
Highly realistic virtual human models are rapidly becoming commonplace in computer graphics. These models, often represented by complex shape and requiring labor-intensive process...
Nadia Magnenat-Thalmann, Hyewon Seo, Frederic Cord...
SIGGRAPH
2003
ACM
14 years 3 months ago
TensorTextures
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectio...
M. Alex O. Vasilescu, Demetri Terzopoulos
VG
2003
13 years 11 months ago
Cell Projection of Convex Polyhedra
Finite element methods commonly use unstructured grids as the computational domain. As a matter of fact, the volume visualization of these unstructured grids is a time consuming t...
Stefan Röttger, Thomas Ertl