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CVPR
1999
IEEE
14 years 7 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
CVPR
2008
IEEE
14 years 7 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
BMVC
2000
13 years 6 months ago
The Cross Ratio: A Revisit to its Probability Density Function
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
D. Q. Huynh
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
13 years 11 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture
ICCV
2007
IEEE
14 years 7 months ago
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
Benoit Mory, Roberto Ardon, Jean-Philippe Thiran