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» A shape hierarchy for 3D modelling from video
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116
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NIPS
2003
14 years 11 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
ECCV
2010
Springer
15 years 2 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
93
Voted
FGR
2006
IEEE
284views Biometrics» more  FGR 2006»
15 years 3 months ago
A 3D Facial Expression Database For Facial Behavior Research
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...
3DPVT
2002
IEEE
184views Visualization» more  3DPVT 2002»
15 years 2 months ago
From 3D Shape Capture to Animated Models
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
Adrian Hilton, Jonathan Starck, Gordon Collins
ICCV
1999
IEEE
15 years 11 months ago
Multi-View 3D Shape and Motion Recovery on the Spatio-Temporal Curve Manifold
In this paper we consider the problem of recovering the 3D motion and shape of an arbitrarily-moving, arbitrarilyshaped curve from multiple synchronized video streams acquired fro...
Rodrigo L. Carceroni, Kiriakos N. Kutulakos