Range Measurement by Computer Vision Systems Based on Invariant Moments

We review range measurement methods based on various configurations of computer vision sensors. We discuss the mathematical model of a stereoscopic pair and the conditionality of its fundamental matrix, which is essential for correct recognition and range measurement. A lot of researchers study the measurement based on single video or photo cameras, they are often installed on small mobile flying vehicles. We focus on the methods based on invariant moments. It is demonstrated that range measurement can be performed by a single camera. A complex of experiments was conducted in order to study single camera range measurement based on invariant moments. The deviation of experimental values of distance measurement that we have done didn't exceed 9%. The error can be explained by the inaccuracy in measuring the distance from the camera lens to the object, unstable position of the camera, and low quality of the obtained image due to the camera restrictions. © 2021 IEEE.

Authors
Khachumov M. 1 , Khachumov V. 2 , Abramov N.1 , Fralenko V.1
Publisher
Institute of Electrical and Electronics Engineers Inc.
Language
English
Pages
134-137
Status
Published
Year
2021
Organizations
  • 1 Ailamazyan Program Systems Institute of Russian Academy of Sciences, Intelligent Control Laboratory, Pereslavl-Zalessky, Russian Federation
  • 2 Rudn University, Information Technologies Department, Moscow, Russian Federation
Keywords
computer vision; distance; image; invariants; measurement method; model; video camera
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84411/
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