High accuracy smartphone video calibration for human foot surface mapping
Paper
Paper/Presentation Title | High accuracy smartphone video calibration for human foot surface mapping |
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Presentation Type | Paper |
Authors | Al-Kharaz, Ali A. (Author) and Chong, Albert K. (Author) |
Journal or Proceedings Title | Proceedings of the 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018) |
Number of Pages | 4 |
Year | 2018 |
Place of Publication | New York, United States |
ISBN | 9781538649916 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICIVC.2018.8492792 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8476690 |
Conference/Event | 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018) |
Event Details | 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018) Event Date 27 to end of 29 Jun 2018 Event Location Chongqing, China |
Abstract | Although the digital camera is readily available and the price is decreasing, many users still consider it an expensive device that can be dispensed with by using a smart phone camera. However, both the digital camera and the smartphone need to be calibrated to extract three dimensional (3D) space information from (2D) and to obtain accurate results. This study used close range photogrammetry to calibrate two high resolution digital cameras and a Samsung Galaxy smartphone to find whether any one of them give high accuracy 3D coordinates of the retro-reflective targets that were determined using the self-calibration bundle adjustment method in two phases. The first phase is during walking when 3 trials are conducted. The same three cameras are used for each trial. The second phase is during standing when one trial is conducted. Each of the camera types is placed in front of the platform. The results showed that arguably, the Samsung Galaxy S6 camera is most significant than other cameras in term of accuracy. In addition, this study provides information on how to calibrate one board from other board that has already been calibrated. |
Keywords | calibration; smartphone; human foot; bundle adjustment; scale bar |
ANZSRC Field of Research 2020 | 400510. Structural engineering |
460304. Computer vision | |
460306. Image processing | |
Public Notes | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
School of Civil Engineering and Surveying | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4yzq/high-accuracy-smartphone-video-calibration-for-human-foot-surface-mapping
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