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» Building Shape Models from Lousy Data
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MICCAI
2002
Springer
14 years 8 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ICCV
2011
IEEE
12 years 7 months ago
Kernel Non-Rigid Structure from Motion
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
Paulo F. U. Gotardo, Aleix M. Martinez
ICASSP
2011
IEEE
12 years 10 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
MICCAI
1998
Springer
13 years 11 months ago
Building Biomechanical Models Based on Medical Image Data: An Assessment of Model Accuracy
The goals of this work were to (i) establish a method for building subject-specific biomechanical models from medical image data, (ii) construct a subject-specific model of the elb...
Wendy M. Murray, Allison S. Arnold, Silvia Salinas...
NIPS
2003
13 years 8 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...