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» Complexity of Inference in Graphical Models
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ICCV
2011
IEEE
14 years 2 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
15 years 8 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
15 years 7 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
15 years 7 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
15 years 3 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