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» A novel method for alignment of 3D models
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CVPR
2008
IEEE
14 years 11 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
SI3D
1999
ACM
14 years 1 months ago
Haptic sculpting of dynamic surfaces
Conventional free-form surface design usually require tedious control-point manipulation and/or painstaking constraint specification via unnatural mouse-based interfaces. This pa...
Frank Dachille, Hong Qin, Arie E. Kaufman, Jihad E...
BMCBI
2007
122views more  BMCBI 2007»
13 years 9 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta
VIS
2008
IEEE
162views Visualization» more  VIS 2008»
14 years 10 months ago
Geodesic Distance-weighted Shape Vector Image Diffusion
Abstract--This paper presents a novel and efficient surface matching and visualization framework through the geodesic distanceweighted shape vector image diffusion. Based on confor...
Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu...
ICCV
2005
IEEE
14 years 2 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black