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» 3D Human Body Modeling Using Range Data
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CVPR
2010
IEEE
15 years 10 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
146
Voted
BMCBI
2006
190views more  BMCBI 2006»
15 years 2 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
133
Voted
EC
2008
209views ECommerce» more  EC 2008»
15 years 2 months ago
Human Body Pose Estimation with Particle Swarm Optimisation
In this paper we address the problem of human body pose estimation from still images. A multi-view set of images of a person sitting at a table is acquired and the pose estimated....
Spela Ivekovic, Emanuele Trucco, Yvan R. Petillot
130
Voted
ICVGIP
2004
15 years 4 months ago
Markerless Motion Capture from Monocular Videos
We present a method to determine the 3D spatial locations of joints of a human body from a monocular video sequence of a Bharatanatyam dance. The proposed method uses domain speci...
Vishal Mamania, Appu Shaji, Sharat Chandran
103
Voted
FGR
1996
IEEE
111views Biometrics» more  FGR 1996»
15 years 6 months ago
Pfinder: real-time tracking of the human body
Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10Hz on a standard SGI Indy computer, and has performed reliably on thousands of peopl...
Christopher Richard Wren, Ali Azarbayejani, Trevor...