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143
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ICCV
1999
IEEE
16 years 5 months 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
158
Voted
ECCV
2000
Springer
16 years 5 months 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...
136
Voted
HAIS
2008
Springer
15 years 4 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...
144
Voted
CORR
2010
Springer
253views Education» more  CORR 2010»
15 years 3 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...
130
Voted
VISUALIZATION
2002
IEEE
15 years 8 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