|

Mathematical Simulation and Research of Optimal Configurations of a Triangulation Optoelectronic System when Backlighting the Object Space with a Single Strip

Authors: Stepanov D.N. Published: 30.03.2022
Published in issue: #1(138)/2022  
DOI: 10.18698/0236-3933-2022-1-119-134

 
Category: Informatics, Computer Engineering and Control | Chapter: Mathematical Modelling, Numerical Methods, and Program Complexes  
Keywords: mathematical model, structured light, video camera, distance estimation, triangulation opto-electronic system, error, optimization

Abstract

The article discusses the theoretical research of triangulation optoelectronic systems consisting of a video camera and a source of structured illumination in the form of a single straight strip. Such optoelectronic systems can be used for solving various problems of three-dimensional modeling, for example, in the problem of detecting obstacles in front of an autonomous mobile robot. The aim of this work is to identify the optimal configuration of such systems to achieve the best accuracy in determining the size of the observed objects, as well as the distances to them. Using the apparatus of analytical geometry, linear algebra and mathematical analysis, a mathematical model of such a system has been developed, taking into account various internal parameters and technical characteristics of the video camera and the structured light source, as well as the relative position and orientation of the camera and the source. Using the constructed mathematical model, equations were obtained allowing estimating the error in calculating the distances to the detected objects. The question of the optimal configuration of such optoelectronic systems is examined, as well as optimality criteria: minimization of errors in determining the distance, the smallest height of the detected objects. The obtained theoretical results can be used in control systems for unmanned vehicles, in systems for non-destructive testing of industrial products, and in further studies of optoelectronic systems of this type

Please cite this article in English as:

Stepanov D.N. Mathematical simulation and research of optimal configurations of a triangulation optoelectronic system when backlighting the object space with a single strip. Herald of the Bauman Moscow State Technical University, Series Instrument Engineering, 2022, no. 1 (138), pp. 119--134 (in Russ.). DOI: https://doi.org/10.18698/0236-3933-2022-1-119-134

References

[1] Geng J. Structured-light 3D surface imaging: a tutorial. Adv. Opt. Photonics, 2011, vol. 3, iss. 2, pp. 128--160. DOI: https://doi.org/10.1364/AOP.3.000128

[2] Bradski G., Kaehler A. Learning OpenCV. O’Reilly Media, 2008.

[3] Zhang Z. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell., 2000, vol. 22, no. 11, pp. 1330--1334. DOI: https://doi.org/10.1109/34.888718

[4] Falcao G., Hurtos N., Massich J. Plane-based calibration of a projector-camera system. VIBOT Master, 2008, pp. 1--12.

[5] Sadlo F., Weyrich T., Peikert R., et al. A practical structured light acquisition system for point-based geometry and texture. Proc. Eurographics/IEEE VGTC Symp. Point-Based Graphics, 2005, pp. 89--145. DOI: https://doi.org/10.1109/PBG.2005.194069

[6] Audet S., Okutomi M. A user-friendly method to geometrically calibrate projector-camera systems. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops, 2009, pp. 47--54. DOI: https://doi.org/10.1109/CVPRW.2009.5204319

[7] Zhang S., Huang P.S. Novel method for structured light system calibration. Opt. Eng., 2006, vol. 45, iss. 8, art. 083601. DOI: https://doi.org/10.1117/1.2336196

[8] Li Z., Shi Y., Wang C., et al. Accurate calibration method for a structured light system. Opt. Eng., 2008, vol. 47, iss. 5, art. 053604. DOI: https://doi.org/10.1117/1.2931517

[9] Pribanic T., Cifric I., Cifrek M., et al. Simplified light plane determination during structured light scanning. Automatika, 2006, vol. 47, no. 3-4, pp. 141--147.

[10] Davydenko E.V., Priorov A.L. Calibration of the position of videocamera in the problem of optical laser triangulation. Tsifrovaya obrabotka signalov [Digital Signal Processing], 2009, no. 3, pp. 16--20 (in Russ.).

[11] Korotaev V.V., Djamiykov T.S., Hoang V.N., et al. Method for determining the spatial coordinates in the active stereoscopic system. Nauchno-tekhnicheskiy vestnik informatsionnykh tekhnologiy, mekhaniki i optiki [Scientific and Technical Journal of Information Technologies, Mechanics and Optics], 2014, no. 6 (94), pp. 48--53 (in Russ.).

[12] Garbat P., Skarbek W., Tomaszewski M. Structured light camera calibration. Opto-Electronics Review, 2013, vol. 21, iss. 1, pp. 23--38. DOI: https://doi.org/10.2478/s11772-013-0076-8

[13] Skvortsov B.V., Chernykh A.V., Malysheva-Stroykova A.N. Photoprotection method of measuring three dimensional objects. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk [Izvestia of Samara Scientific Center of the Russian Academy of Sciences], 2016, vol. 18, no. 4-6, pp. 1242--1249 (in Russ.).

[14] Kosova A.V., Popkov A.I. Mapping the surrounding space with the use of odometry, inertial navigation, structured light and computer vision. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki [Proceedings of the TUSUR University], 2015, no. 2, pp. 33--37 (in Russ.).

[15] Stepanov D.N. Method of calibrating an active optical stereoscopic system that consists of a monocular camera and structured illumination in the form of a line. J. Optic. Technol., 2020, vol. 87, iss. 4, pp. 230--236. DOI: https://doi.org/10.1364/JOT.87.000230