A Dense Stereovision System for 3D Body Imaging
Three-dimensional (3D) body imaging has become an important mean for applications based on body measurement, such as apparel customization and obesity assessment. In this article, we present a 3D body imaging system built upon stereovision technology. The system utilizes paired, high-resolution sing...
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Format: | Article |
Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8913464/ |
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author | Ming Yao Bugao Xu |
author_facet | Ming Yao Bugao Xu |
author_sort | Ming Yao |
collection | DOAJ |
description | Three-dimensional (3D) body imaging has become an important mean for applications based on body measurement, such as apparel customization and obesity assessment. In this article, we present a 3D body imaging system built upon stereovision technology. The system utilizes paired, high-resolution single-lens reflex (SLR) cameras to image the front and back body surfaces of a person, and robust and efficient stereo matching algorithms to reconstruct the 3D surface of the body with high-density data clouds. The system's accuracy and repeatability have been evaluated on mannequins and human subjects in comparison with other measurement methods. It was found that the geometrical measurements from reconstructed 3D body models, including body circumferences and volumes, were highly repeatable and consistent with the manual and other 3D instrumental measurements (CV <; 0.1%, and R<sup>2</sup> > 0.99). |
first_indexed | 2024-12-19T22:56:50Z |
format | Article |
id | doaj.art-5a014d996b714af5b0088dab9e2d79d0 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-19T22:56:50Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-5a014d996b714af5b0088dab9e2d79d02022-12-21T20:02:38ZengIEEEIEEE Access2169-35362019-01-01717090717091810.1109/ACCESS.2019.29559158913464A Dense Stereovision System for 3D Body ImagingMing Yao0https://orcid.org/0000-0003-1737-3439Bugao Xu1https://orcid.org/0000-0001-9221-5110Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, USADepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX, USAThree-dimensional (3D) body imaging has become an important mean for applications based on body measurement, such as apparel customization and obesity assessment. In this article, we present a 3D body imaging system built upon stereovision technology. The system utilizes paired, high-resolution single-lens reflex (SLR) cameras to image the front and back body surfaces of a person, and robust and efficient stereo matching algorithms to reconstruct the 3D surface of the body with high-density data clouds. The system's accuracy and repeatability have been evaluated on mannequins and human subjects in comparison with other measurement methods. It was found that the geometrical measurements from reconstructed 3D body models, including body circumferences and volumes, were highly repeatable and consistent with the manual and other 3D instrumental measurements (CV <; 0.1%, and R<sup>2</sup> > 0.99).https://ieeexplore.ieee.org/document/8913464/Stereovisioncamera calibration3D registrationbody imaging |
spellingShingle | Ming Yao Bugao Xu A Dense Stereovision System for 3D Body Imaging IEEE Access Stereovision camera calibration 3D registration body imaging |
title | A Dense Stereovision System for 3D Body Imaging |
title_full | A Dense Stereovision System for 3D Body Imaging |
title_fullStr | A Dense Stereovision System for 3D Body Imaging |
title_full_unstemmed | A Dense Stereovision System for 3D Body Imaging |
title_short | A Dense Stereovision System for 3D Body Imaging |
title_sort | dense stereovision system for 3d body imaging |
topic | Stereovision camera calibration 3D registration body imaging |
url | https://ieeexplore.ieee.org/document/8913464/ |
work_keys_str_mv | AT mingyao adensestereovisionsystemfor3dbodyimaging AT bugaoxu adensestereovisionsystemfor3dbodyimaging AT mingyao densestereovisionsystemfor3dbodyimaging AT bugaoxu densestereovisionsystemfor3dbodyimaging |