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» Learning Non-Rigid 3D Shape from 2D Motion
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ISBI
2009
IEEE
15 years 6 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
CVPR
2006
IEEE
16 years 1 months ago
Simultaneous Registration and Modeling of Deformable Shapes
Many natural objects vary the shapes as linear combinations of certain bases. The measurement of such deformable shapes is coupling of rigid similarity transformations between the...
Jing Xiao, Bogdan Georgescu, Xiang Zhou, Dorin Com...
IPMI
2003
Springer
16 years 13 days ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...
ICCV
2011
IEEE
13 years 11 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
95
Voted
TOG
2010
117views more  TOG 2010»
14 years 6 months ago
Multi-feature matching of fresco fragments
We present a multiple-feature approach for determining matches between small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. In contrast with traditio...
Corey Toler-Franklin, Benedict J. Brown, Tim Weyri...