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» Back to the Future: Learning Shape Models from 3D CAD Data
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CAD
2004
Springer
13 years 7 months ago
A shape design system using volumetric implicit PDEs
Solid modeling based on partial differential equations (PDEs) can potentially unify both geometric constraints and functional requirements within a single design framework to mode...
Haixia Du, Hong Qin
ETVC
2008
13 years 9 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
HUMO
2007
Springer
14 years 1 months ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 11 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
JCP
2006
118views more  JCP 2006»
13 years 7 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...