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ECCV
2002
Springer
16 years 6 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
APGV
2006
ACM
103views Visualization» more  APGV 2006»
15 years 10 months ago
Perception of image motion during head movement
Previous studies have shown that self-motion has an inhibiting effect on concurrent 3D motion perception. To investigate whether self-motion similarly impairs concurrent image mot...
Li Li, Bernard D. Adelstein, Stephen R. Ellis
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
16 years 6 months ago
Efficient Processing of Warping Time Series Join of Motion Capture Data
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
ISBI
2006
IEEE
16 years 5 months ago
Exact correction of sharply varying off-resonance effects in spiral MRI
Magnetic Resonance Imaging with non-Cartesian acquisition schemes suffer from blurring artifacts induced by offresonance. Conventional algorithms for off-resonance correction are ...
Mahender K. Makhijani, Krishna S. Nayak