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» PAMPAS: Real-Valued Graphical Models for Computer Vision
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ICCV
2005
IEEE
15 years 3 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
CVPR
2003
IEEE
16 years 2 days ago
Implicit Meshes for Modeling and Reconstruction
Explicit surfaces, such as triangulations or wireframe models, have been extensively used to represent the deformable 3?D models that are used to fit 3?D point and 2?D silhouette ...
Slobodan Ilic, Pascal Fua
ICPR
2008
IEEE
15 years 4 months ago
A colour text/graphics separation based on a graph representation
In this paper, a colour text/graphics segmentation is proposed. Firstly, it takes advantage of colour properties by computing a relevant hybrid colour model. Then an edge detectio...
Romain Raveaux, Jean-Christophe Burie, Jean-Marc O...
SIGGRAPH
2000
ACM
15 years 2 months ago
Environment matting extensions: towards higher accuracy and real-time capture
Environment matting is a generalization of traditional bluescreen matting. By photographing an object in front of a sequence of structured light backdrops, a set of approximate li...
Yung-Yu Chuang, Douglas E. Zongker, Joel Hindorff,...
CVPR
2008
IEEE
15 years 4 months ago
Bayesian tactile face
Computer users with visual impairment cannot access the rich graphical contents in print or digital media unless relying on visual-to-tactile conversion, which is done primarily b...
Zheshen Wang, Xinyu Xu, Baoxin Li