Reference for citation: Gukov S. Yu., Tyurlikov А. М. Assessing the influence of ToF-cameras use intensity on the result of a depth map constructing. Journal of Instrument Engineering. 2023. Vol. 66, N 9. P. 731—740 (in Russian). DOI: 10.17586/0021-3454-2023-66-9-731-740.

Abstract. Results of studies on influence of the intensity of the appearance of users simultaneously using ToF-cameras in the field of view on the probability of incorrect construction of a depth map are presented. The process of users appearing in the field of view is described by a spatial point Poisson distributed process with a given intensity. Simulation results using the Intel RealSense D455 camera are presented. Calculations are performed of the shooting region area where ToF-cameras can create mutual interference during multi-camera shooting. The duration of the signal is also evaluated, and the shutter speed of the deep chamber is determined. Based on the data obtained, the probability of incorrectly constructing a depth map is estimated and a graph of its dependence on the intensity of the appearance of users in the visibility area was constructed. Results of an experiment to determine the dependence of the amount of interference on the distance of intersecting cameras from the object are presented.

Keywords: depth camera, signal duration, spatial Poisson point process, depth map, field of view, signal overlap, multi-camera shooting, ToF-camera

Acknowledgement: the work was carried out with the financial support of the Russian Science Foundation, project No. 22-19-00305 “Space-time stochastic models of wireless networks with a large number of subscribers.”

References:

1. Gukov S.Y. 2021 Wave Electronics and its Application in Information and Telecommunication Systems, Proc. of the Сonference, St. Petersburg, Russia, 31 May–4 June 2021, рр. 201–205.
2. Gukov S.Yu., Tyurlikov A.M. Obrabotka, peredacha i zashchita informatsii v komp'yuternykh sistemakh (Processing, Transmission and Protection of Information in Computer Systems), 2021, vol. 21. (in Russ.)
3. Wermke F., Wübbenhorst T., Meffert B. 2020 IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1–4, DOI: 10.1109/SENSORS47125.2020.9278667.
4. Wermke F., Wübbenhorst T., Meffert B. 6th International Conference on Control, Automation and Robotics (ICCAR), Singapore, 2020, pp. 586–595, DOI: 10.1109/ICCAR49639.2020.9107975.
5. Volak J., Koniar D., Jabloncik F., Hargas L., Janisova S. 42nd International Conference on Telecommunications and Signal Processing (TSP), 2019.
6. Li L., Xiang S., Yang Y., Yu L. IEEE International Conference on Image Processing (ICIP), 2015.
7. Wübbenhorst T., Wermke F., Meffert B. IEEE Sensors, Rotterdam, Netherlands, 2020, pp. 1–4, DOI: 10.1109/SENSORS47125.2020.9278774.
8. Wübbenhorst T. Frame-basierte optische synchronisation von time-of- flight (tof) sensoren, Master’s thesis, Humboldt-Universität zu Berlin, 2019.
9. Wermke F., Meffert B. Interference Model of Two Time-Of-Flight Cameras, 2019.
10. Gukov S.Y., Afanasieva A.V., Turlikov A.M. Wave Electronics and its Application in Information and Telecommunication Systems, 2020.
11. Predtechensky V.M., Milinsky A.I. Proyektirovaniye zdaniy s uchetom organizatsii dvizheniya lyudskikh potokov (Design of Buildings Taking into Account the Organization of the Movement of Human Flows), Moscow, 1979, 375 р. (in Russ.)
12. YuJie Fang, Xia Wang, Zhi Bin Sun, Kai Zhang, Bing Hua Su. Optics and Lasers in Engineering, 2020, vol. 128.
13. Yuzhi Song, Chunqing Lu, Fenzhi Wu, Zhongxiang Cao, Xiao Liang. Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019.
14. Conde M.H. IEEE Sensors Letters, 2020, no. 7(4), pp. 1–4.
15. Bogatyrev V.A., Bogatyrev S.V., Bogatyrev A.V. Wave Electronics and its Application in Information and Telecommunication Systems (WECONF 2019), 2019, рр. 8840647.