Preview

Izmeritel`naya Tekhnika

Advanced search
Open Access Open Access  Restricted Access Subscription Access

The intensity asymmetry inf uence on identifying error of stereo images

https://doi.org/10.32446/0368-1025it.2023-5-22-28

Abstract

The issues of increasing the accuracy and reliability of identifi cation of stereoscopic images due to a priori estimation of a specifi c identifi cation error that occurs when the intensity of the control image is asymmetric near the analyzed point (within the “window” of identifi cation) are considered. The mechanism of occurrence of such an error has been studied, a method for its prediction has been developed. The work methodology includes geometric analysis, analytical description of the image forming process and computer modeling. A certain version of the geometry of a stereoscopic television system is considered – with identical cameras, the optical axes of which are parallel to each other and orthogonal to the stereoscopic base. The a priori information used for the solution is the position of the relief reference plane. A technique for determining the center of intensity used in the method of predicting the identifi cation error has been developed. Using computer simulation, the infl uence of the asymmetry of the center of intensity relative to the center of the “window” on the identifi cation error and the possibility of its prediction is clearly demonstrated. The developed method can be used to make a decision to conduct a search procedure on the second stereo image or to reject the analyzed point in case of an unacceptably large predicted identifi cation error, as well as to limit the search interval on the second image and adjust the size of the “window” if necessary. 

About the Author

M. V. Samoilenko
Moscow Aviation Institute (National Research University)
Russian Federation

Marina V. Samoilenko



References

1. Lumann T., Robson S., Kajl S., Bom Ja. Blizhnjaja fotogrammetrija i 3D-zrenie [Close-Range Photogrammetry and 3D Imaging]. Moscow, LENAND Publ., 2018. 704 p. (In Russ.)

2. Favorskaya M. N., Tupitsyn I. V. Hierarchical method of search of corresponding points at stereoimages. Vestnik Sibirskogo gosudarstvennogo Ajerokosmicheskogo universiteta imeni akademika M. F. Reshetnjova, 2012, no. 1(41), pp. 62–67. (In Russ.)

3. Stepanov D. N. Techniques Of Feature Points Matching In The Problem Of Uav’s Visual Navigation. Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering, 2015, vol. 4, no. 4, pp. 32–47. (In Russ.) https://doi.org/10.14529/cmse150402

4. Goshin E. V., Fursov V. A. Conformed identifi cation in corresponding points detection problem. Computer Optics, 2012, vol. 36, no. 1, pp. 131–135. (In Russ.) https://www.elibrary.ru/owifnr

5. Orlov V. P., Sharikov E. N. Algorithm of fi nding and classifying special points of object on the basis of harris’s detector. Nanoindustry, 2017, no. S(74), pp. 171–178. (In Russ.)

6. Antipin V. V., Bujmov A. G. Statisticheskij analiz oshibok sovmeshhenija izobrazhenij po metodu naimen’shih kvadratov v uslovijah okrashennogo sh uma. Avtometrija [Optoelectronics, Instrumentation and Data Processing], 1985, no. 3, pp. 27–31. (In Russ.)

7. Egorov I. V., Juhno P. M. Vlijanie odnorodnogo korrelirovannogo jarkostnogo shuma na kovariacionnuju matricu oshibok sovmeshhenija izobrazhenij. Avtometrija [Optoelectronics, Instrumentation and Data Processing], 1988, no. 1, pp. 105–107. (In Russ.)

8. Grishin V. A. Ocenka tochnosti ustanovlenija sootvetstvija v sistemah tehnicheskogo zrenija. Cifrovaja obrabotka signalov, 2008, no. 4, pp. 2–6. (In Russ.)

9. Hrushh R. M., Grin’ A. N., Solov’ev A. V. Otbrakovka tochek pri oprede-lenii jelementov vzaimnogo orientirovanija snimkov stereopary. Information and Space, 2016, no. 1, pp. 80–84. (In Russ.)

10. Buslaev S. P. Development of onboard system of automous machine vision of “Marsokhod”. Vestnik NPO im. S. A. Lavochkina, 2013, no. 1(17), pp. 24–28. (In Russ.)

11. Samoilenko M. V. Reconstruction of the point spatial coordinates in the case of normal stereo photography. Automation of Control Processes, 2019, no. 1(55), pp. 92–98. (In Russ.)


Review

For citations:


Samoilenko M.V. The intensity asymmetry inf uence on identifying error of stereo images. Izmeritel`naya Tekhnika. 2023;(5):22-28. (In Russ.) https://doi.org/10.32446/0368-1025it.2023-5-22-28

Views: 213


ISSN 0368-1025 (Print)
ISSN 2949-5237 (Online)