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» Probability Models for High Dynamic Range Imaging
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ICASSP
2007
IEEE
15 years 4 months ago
On Geometric and Photometric Registration of Images
Finding geometric and photometric relation among images is crucial in many computer vision tasks such as panoramic imaging, high dynamic range imaging, stereo imaging, and change ...
Murat Gevrekci, Bahadir K. Gunturk
CVPR
2007
IEEE
15 years 11 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ISBI
2002
IEEE
15 years 10 months ago
Statistical shape model for automatic skull-stripping of brain images
This paper presents a statistical shape model for automatic skull stripping of MR brain images. A surface model of the brain boundary is hierarchically represented by a set of ove...
Zhiqiang Lao, Dinggang Shen, Christos Davatzikos
3DIM
2007
IEEE
15 years 4 months ago
3D laser measurement system for large scale architectures using multiple mobile robots
In order to construct three dimensional shape models of large scale architectures by a laser range finder, a number of range images are normally taken from various viewpoints and...
Ryo Kurazume, Yukihiro Tobata, Yumi Iwashita, Tsut...
MICCAI
2008
Springer
15 years 11 months ago
Exploring the Use of Proper Orthogonal Decomposition for Enhancing Blood Flow Images Via Computational Fluid Dynamics
Abstract. Obtaining high quality patient-specific flow velocity information is not an easy task. Available clinical data are usually poorly resolved and contain a significant amoun...
Dominik Szczerba, Gábor Székely, Kri...