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ICCV
1999
IEEE
15 years 1 days ago
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
Philip H. S. Torr, Richard Szeliski, P. Anandan
ECCV
2000
Springer
15 years 7 hour ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
HAIS
2008
Springer
13 years 11 months ago
Extraction of Geometrical Features in 3D Environments for Service Robotic Applications
Modeling environments with 3D feature based representations is a challenging issue in current mobile robotics. Fast and robust algorithms are required for applicability to navigati...
Paloma de la Puente, Diego Rodríguez-Losada...
CORR
2010
Springer
253views Education» more  CORR 2010»
13 years 10 months ago
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCu...
VISUALIZATION
2002
IEEE
14 years 3 months ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo