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» Probability Models for High Dynamic Range Imaging
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ICASSP
2007
IEEE
15 years 4 months ago
Raw Image Encoding Based on Polynomial Approximation
In this paper, we propose a coding algorithm for raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by...
Masahiro Okuda, Nicola Adami
CVPR
2006
IEEE
15 years 3 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
79
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ICRA
1998
IEEE
121views Robotics» more  ICRA 1998»
15 years 1 months ago
Registering, Integrating and Building CAD Models from Range Data
In this paper, we introduce two methods for the registration of multiple range images when a prior estimate of the transformationbetween views is not available and the overlap bet...
Ruigang Yang, Peter K. Allen
KI
2007
Springer
15 years 3 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
TOG
2002
168views more  TOG 2002»
14 years 9 months ago
Photographic tone reproduction for digital images
A classic photographic task is the mapping of the potentially high dynamic range of real world luminances to the low dynamic range of the photographic print. This tone reproductio...
Erik Reinhard, Michael M. Stark, Peter Shirley, Ja...