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» Deep Structure of Images in Populations Via Geometric Models...
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DSSCV
2005
Springer
13 years 10 months ago
Deep Structure of Images in Populations Via Geometric Models in Populations
We face the question of how to produce a scale space of image intensities relative to a scale space of objects or other characteristic image regions filling up the image space, whe...
Stephen M. Pizer, Ja-Yeon Jeong, Robert E. Broadhu...
ISBI
2006
IEEE
14 years 5 months ago
Statistics of populations of images and its embedded objects: driving applications in neuroimaging
Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...
CA
1999
IEEE
13 years 9 months ago
Virtual People: Capturing Human Models to Populate Virtual Worlds
In this paper a new technique is introduced for automatically building recognisable moving 3D models of individual people. Realistic modelling of people is essential for advanced ...
Adrian Hilton, Daniel Beresford, Thomas Gentils, R...
MICCAI
2010
Springer
13 years 3 months ago
Image Registration Driven by Combined Probabilistic and Geometric Descriptors
Abstract. Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image r...
Linh K. Ha, Marcel Prastawa, Guido Gerig, John H. ...
ISBI
2002
IEEE
14 years 5 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...