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» Computational methods for understanding 3D shapes
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Publication
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14 years 10 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
BMCBI
2010
151views more  BMCBI 2010»
13 years 9 months ago
Using diffusion distances for flexible molecular shape comparison
Background: Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat t...
Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani,...
FBIT
2007
IEEE
14 years 28 days ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...
ICCV
2009
IEEE
15 years 2 months ago
Modeling Deformable Objects from a Single Depth Camera
We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at...
Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang, ...
IWVF
2001
Springer
14 years 1 months ago
Head Model Acquisition from Silhouettes
This paper describes a practical system developed for generating 3D models of human heads from silhouettes alone. The input to the system is an image sequence acquired from circula...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...