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BMVC
2010
13 years 3 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICCV
2005
IEEE
13 years 11 months ago
An Integrated Framework for Image Segmentation and Perceptual Grouping
This paper presents an efficient algorithm for image segmentation and a framework for perceptual grouping. It makes an attempt to provide one way of combining bottomup and top-do...
Zhuowen Tu
SIGGRAPH
2010
ACM
13 years 9 months ago
Feature-based locomotion controllers
This paper introduces an approach to control of physics-based characters based on high-level features of movement, such as centerof-mass, angular momentum, and end-effectors. Obje...
Martin de Lasa, Igor Mordatch, Aaron Hertzmann
MIA
2011
170views more  MIA 2011»
12 years 11 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
FGR
2004
IEEE
142views Biometrics» more  FGR 2004»
13 years 9 months ago
On Automated Model-Based Extraction and Analysis of Gait
We develop a new model-based extraction process guided by biomechanical analysis for walking people, and analyse its data for recognition capability. Hierarchies of shape and moti...
David K. Wagg, Mark S. Nixon