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» Feature hiding in 3D human body scans
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ICPR
2008
IEEE
14 years 8 months ago
3D human posture estimation using the HOG features from monocular image
In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set ...
Katsunori Onishi, Tetsuya Takiguchi, Yasuo Ariki
MMM
2008
Springer
128views Multimedia» more  MMM 2008»
14 years 1 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
AMDO
2008
Springer
13 years 9 months ago
Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to ...
Chi-Wei Chu, Ramakant Nevatia
ICVGIP
2004
13 years 9 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless
MVA
2002
118views Computer Vision» more  MVA 2002»
13 years 7 months ago
Human Spine Posture Estimation from 2D Frontal and Lateral Views Using 3D Physically Precise Spine Model
This paper describes a physically precise spine model and its application to estimate three dimensional spine posture from the frontal and lateral views of a human body taken by t...
Daisuke Furukawa, Kensaku Mori, Yasuhito Suenaga