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» Approximate algorithms for neural-Bayesian approaches
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ECCV
2008
Springer
15 years 11 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
ICIP
2005
IEEE
15 years 11 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICIP
2003
IEEE
15 years 11 months ago
Real-time microfacet billboarding for free-viewpoint video rendering
We present a hardware-accelerated method for video-based rendering relying on an approximate model of scene geometry. Our goal is to render high-quality views of the scene from ar...
Bastian Goldlücke, Marcus A. Magnor
ICDE
2007
IEEE
219views Database» more  ICDE 2007»
15 years 11 months ago
Efficient Keyword Search Across Heterogeneous Relational Databases
Keyword search is a familiar and potentially effective way to find information of interest that is "locked" inside relational databases. Current work has generally assum...
Mayssam Sayyadian, Hieu LeKhac, AnHai Doan, Luis G...
ICPR
2006
IEEE
15 years 11 months ago
Object Tracking Using Globally Coordinated Nonlinear Manifolds
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Ruei...