| Issue |
EPJ Web Conf.
Volume 226, 2020
Mathematical Modeling and Computational Physics 2019 (MMCP 2019)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 4 | |
| Section | Mathematical Modeling, Numerical Methods, and Simulation | |
| DOI | https://doi.org/10.1051/epjconf/202022602011 | |
| Published online | 20 January 2020 | |
https://doi.org/10.1051/epjconf/202022602011
An Approach to the Estimation of Dimensions from Static Images
Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice,
Letná 9,
Košice,
Slovak Republic
★ e-mail: frantisek.jakab@tuke.sk
★★ e-mail: ondrej.kainz@tuke.sk
★★★ e-mail: miroslav.michalko@tuke.sk
★★★★ e-mail: rastislav.petija@tuke.sk
Published online: 20 January 2020
The broad goal of this study is the estimation of dimensions of real-world multidimensional objects. The focus is on the human being and its dimensional parameters, primarily the height. The approach to the estimation of the height in a single camera environment is presented and is experimentally verified. The proposed method presumes that the distance from the optical device to the human body and its Vertical Field of View (VFOV) are known. The VFOV has to be calculated or acquired only once for a specific device. The accuracy of the proposed method is validated by a series of test scenarios including, e.g., statistical height measurements.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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