Real-time 3D human motion capture from binocular stereo vision and its use on human body animation-Reference-Cited by-同舟云学术

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Real-time 3D human motion capture from binocular stereo vision and its use on human body animation

Published:2019-10-16 Issue: Volume: Page:
ISSN:
Container-title:Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
language:
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Author:

Wei Xupeng,Zhang Zhongzhi,Li Shuang,Yang Tao,Zhou Xiang

Publisher

SPIE

Reference9 articles.

1. Real-time human pose recognition in parts from single depth images;Shotton;Cvpr,2011

2. Lifting from the deep: Convolutional 3d pose estimation from a single image;Tome,2017

3. Stacked hourglass networks for human pose estimation;Newell,2016

4. Convolutional pose machines;Wei,2016

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1. Development of an integrated podometry system for mechanical load measurement and visual inspection;Measurement;2022-11

2. Pose Estimation under Visual Sensing Technology and Its Application in Art Design;Journal of Sensors;2021-11-22

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