1509 search results - page 5 / 302 » Building Shape Models from Lousy Data |
MICCAI
2002
Springer
15 years 10 months ago
2002
Springer
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 ...
101
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
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...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
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 ...
MICCAI
1998
Springer
15 years 1 months ago
1998
Springer
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...
117
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NIPS
2003
14 years 11 months ago
2003
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...