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» Probability Models for High Dynamic Range Imaging
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CVPR
2008
IEEE
15 years 11 months ago
A bi-illuminant dichromatic reflection model for understanding images
This paper presents a new model for understanding the appearance of objects that exhibit both body and surface reflection under realistic illumination. Specifically, the model rep...
Bruce A. Maxwell, Richard M. Friedhoff, Casey A. S...
ICIP
2005
IEEE
15 years 11 months ago
A dynamic Bezier curve model
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...
BMCBI
2010
229views more  BMCBI 2010»
14 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
IEEEARES
2006
IEEE
15 years 3 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
DAGM
2007
Springer
15 years 3 months ago
Selection of Local Optical Flow Models by Means of Residual Analysis
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
Björn Andres, Fred A. Hamprecht, Christoph S....