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» Background estimation from non-time sequence images
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FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
15 years 8 months ago
A discriminative approach to frame-by-frame head pose tracking
We present a discriminative approach to frame-by-frame head pose tracking that is robust to a wide range of illuminations and facial appearances and that is inherently immune to a...
Jacob Whitehill, Javier R. Movellan
139
Voted
ICPR
2010
IEEE
14 years 12 months ago
3D Vertebral Body Segmentation Using Shape Based Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we propose a novel 3D shape based met...
Melih S. Aslan, Asem M. Ali, Aly A. Farag, Ham M. ...
124
Voted
ICIP
2004
IEEE
16 years 3 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
MOC
2002
92views more  MOC 2002»
15 years 1 months ago
Effects of uncertainties in the domain on the solution of Neumann boundary value problems in two spatial dimensions
An essential part of any boundary value problem is the domain on which the problem is defined. The domain is often given by scanning or another digital image technique with limited...
Ivo Babuska, Jan Chleboun
CVPR
2010
IEEE
15 years 10 months ago
Removing Rolling Shutter Wobble
We present an algorithm to remove wobble artifacts from a video captured with a rolling shutter camera undergoing large accelerations or jitter. We show how estimating the rapid m...
Simon Baker, Eric Bennett, Sing Bing Kang, Richard...