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» Light Field Analysis for Modeling Image Formation
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PAMI
1998
112views more  PAMI 1998»
14 years 11 months ago
Efficient Region Tracking With Parametric Models of Geometry and Illumination
—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the im...
Gregory D. Hager, Peter N. Belhumeur
SMI
2010
IEEE
152views Image Analysis» more  SMI 2010»
14 years 10 months ago
Direct-Product Volumetric Parameterization of Handlebodies via Harmonic Fields
—Volumetric parameterization plays an important role for geometric modeling. Due to the complicated topological nature of volumes, it is much more challenging than the surface ca...
Jiazhi Xia, Ying He 0001, Xiaotian Yin, Shuchu Han...
CVPR
2000
IEEE
16 years 1 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
DIAL
2006
IEEE
129views Image Analysis» more  DIAL 2006»
15 years 3 months ago
Ink recognition based on statistical classification methods
Statistical classification methods can be applied on images of historical manuscript in order to characterize the various kinds of inks used. As these methods do not require destr...
Vasiliki Kokla, Alexandra Psarrou, Vassilis Konsta...
MICCAI
2010
Springer
14 years 10 months ago
Probabilistic Anatomical Connectivity Using Completion Fields
Abstract. Diffusion magnetic resonance imaging has led to active research in the analysis of anatomical connectivity in the brain. Many approaches have been proposed to model the ...
Parya MomayyezSiahkal, Kaleem Siddiqi