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» Surface Reconstruction using Learned Shape Models
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CVPR
2006
IEEE
14 years 3 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
CGF
1999
130views more  CGF 1999»
13 years 8 months ago
A Free Form Feature Taxonomy
In this paper the notion of free form feature for aesthetic design is presented. The design of industrial products constituted by free form surfaces is done by using CAD systems r...
M. Fontana, Franca Giannini, M. Meirana
MICCAI
2009
Springer
14 years 10 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
CVPR
1997
IEEE
14 years 1 months ago
Area and Length Minimizing Flows for Shape Segmentation
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Kaleem Siddiqi, Steven W. Zucker, Yves Béru...
PAMI
2006
145views more  PAMI 2006»
13 years 9 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...