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NIPS
2003
15 years 1 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...
RAS
2002
91views more  RAS 2002»
14 years 11 months ago
Foveated active tracking with redundant 2D motion parameters
This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models. We present a very efficient parametri...
Alexandre Bernardino, José Santos-Victor, G...
ACCV
2006
Springer
15 years 5 months ago
Virtual Fashion Show Using Real-Time Markerless Motion Capture
Abstract. This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape ...
Ryuzo Okada, Björn Stenger, Tsukasa Ike, Nobu...
ICCV
2011
IEEE
13 years 11 months ago
Kernel Non-Rigid Structure from Motion
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
Paulo F. U. Gotardo, Aleix M. Martinez
130
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ACCV
2009
Springer
15 years 6 months ago
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
Yen-Lin Chen, Jinxiang Chai