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» Using a probabilistic source model for comparing images
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ICIP
2010
IEEE
13 years 5 months ago
Probabilistic human pose recovery from 2D images
Image based human pose recovery has many applications in different industries such as games, entertainment, physiological rehabilitation and biometrics. This paper presents a new ...
Farid Flitti, Mohammed Bennamoun, Du Q. Huynh, Rob...
ISCAS
2003
IEEE
99views Hardware» more  ISCAS 2003»
14 years 20 days ago
New hyperbolic source density models for blind source recovery score functions
We present two new hyperbolic source probability models to effectively represent sub-gaussian and super-gaussian families of sources for dynamic and convolutive Blind Source Recov...
Khurram Waheed, Fathi M. Salem
MICCAI
2010
Springer
13 years 5 months ago
Probabilistic Multi-Shape Representation Using an Isometric Log-Ratio Mapping
Abstract. Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Although it is well-known that the sam...
Neda Changizi, Ghassan Hamarneh
DAGM
2006
Springer
13 years 11 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
ICRA
2007
IEEE
211views Robotics» more  ICRA 2007»
14 years 1 months ago
Control Camera and Light Source Positions using Image Gradient Information
— In this paper, we propose an original approach to control camera position and/or lighting conditions in an environment using image gradient information. Our goal is to ensure a...
Éric Marchand