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» Supershape Recovery from 3D Data Sets
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CVPR
2006
IEEE
15 years 20 days ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
DCC
2004
IEEE
14 years 10 months ago
Fast Near-Lossless or Lossless Compression of Large 3D Neuro-Anatomical Images
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
Rongkai Zhao, Michael Gabriel, Geneva G. Belford
CSSE
2008
IEEE
14 years 5 months ago
Rapid Acquirement and Visualization of CityGML Documents
—With the development of the Internet, the need of city 3D data is rising more and more, and the emphasis shifts from analysis to the sharing of city 3D data and information over...
Lingli Zhao, Shuai Liu, Junsheng Li, Haicheng Xu
ICPR
2006
IEEE
14 years 11 months ago
Evaluation of 3D Facial Feature Selection for Individual Facial Model Identification
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
Lijun Yin, Yi Sun
ICASSP
2011
IEEE
13 years 2 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce