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CGF
2011
14 years 8 months ago
A Sparse Parametric Mixture Model for BTF Compression, Editing and Rendering
Bidirectional texture functions (BTFs) represent the appearance of complex materials. Three major shortcomings with BTFs are the bulky storage, the difficulty in editing and the ...
Hongzhi Wu, Julie Dorsey, Holly E. Rushmeier
CVPR
2003
IEEE
16 years 7 months ago
3D Model Retrieval With Morphing-Based Geometric and Topological Feature Maps
Recent advancement in 3D digitization techniques have prompted to the need for 3D object retrieval. Our method of comparing 3D objects for retrieval is based on 3D morphing. It co...
Meng Yu, Indriyati Atmosukarto, Wee Kheng Leow, Zh...
ICCAD
2006
IEEE
165views Hardware» more  ICCAD 2006»
16 years 2 months ago
A fast block structure preserving model order reduction for inverse inductance circuits
Most existing RCL−1 circuit reductions stamp inverse inductance L−1 elements by a second-order nodal analysis (NA). The NA formulation uses nodal voltage variables and describ...
Hao Yu, Yiyu Shi, Lei He, David Smart
IROS
2009
IEEE
188views Robotics» more  IROS 2009»
15 years 11 months ago
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
Pedro Núñez Trujillo, Paulo Drews, R...
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 11 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams