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» Generic Methods for Optimization-Based Modeling
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SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 3 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
14 years 1 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
IVC
2000
146views more  IVC 2000»
13 years 8 months ago
Fast head modeling for animation
This paper describes an efficient method to make individual faces for animation from several possible inputs. We present a method to reconstruct 3D facial model for animation from...
Won-Sook Lee, Nadia Magnenat-Thalmann
ISQED
2007
IEEE
106views Hardware» more  ISQED 2007»
14 years 2 months ago
Passive Modeling of Interconnects by Waveform Shaping
In this paper, we propose a new approach to enforcing the passivity of a reduced system of general passive linear time invariant circuits. Instead of making the reduced models pas...
Boyuan Yan, Pu Liu, Sheldon X.-D. Tan, Bruce McGau...
CVPR
2008
IEEE
14 years 10 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji