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» Shapes as empirical distributions
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ICIP
2007
IEEE
15 years 11 months ago
The Hough Transform's Implicit Bayesian Foundation
This paper shows that the basic Hough transform is implicitly a Bayesian process--that it computes an unnormalized posterior distribution over the parameters of a single shape giv...
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D...
CVPR
2012
IEEE
13 years 3 days ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICCV
2009
IEEE
1191views Computer Vision» more  ICCV 2009»
16 years 1 months ago
3D Open-Surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...
Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangron...
97
Voted
ISBI
2009
IEEE
15 years 4 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
58
Voted
CSDA
2008
95views more  CSDA 2008»
14 years 9 months ago
On the hazard function of Birnbaum-Saunders distribution and associated inference
In this paper, we discuss the shape of the hazard function of Birnbaum
Debasis Kundu, Nandini Kannan, N. Balakrishnan