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PAMI
2006
230views more  PAMI 2006»
13 years 6 months ago
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
We present a novel variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher dimensional space of distance transforms. In...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
CVPR
2009
IEEE
13 years 10 months ago
Automatic registration of LIDAR and optical images of urban scenes
Fusion of 3D laser radar (LIDAR) imagery and aerial optical imagery is an efficient method for constructing 3D virtual reality models. One difficult aspect of creating such models...
Andrew Mastin, Jeremy Kepner, John W. Fisher III
CVPR
2008
IEEE
14 years 8 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
CGF
2005
252views more  CGF 2005»
13 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
DAGM
2009
Springer
14 years 1 months ago
Markerless 3D Face Tracking
We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then re...
Christian Walder, Martin Breidt, Heinrich H. B&uum...