Iteration algorithm for offsets, scale and rotate estimation for multidimensional signals superposition of optical triangulation sensor

Rinat R. Diyazitdinov

doi:10.1117/12.2630867

25 July 2022 Iteration algorithm for offsets, scale and rotate estimation for multidimensional signals superposition of optical triangulation sensor

Rinat R. Diyazitdinov

Author Affiliations +

Proceedings Volume 12295, Optical Technologies for Telecommunications 2021; 122950O (2022) https://doi.org/10.1117/12.2630867
Event: Nineteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2021, Samara, Russian Federation

Abstract

We describe the iteration algorithm for multidimensional signals superposition of optical triangulation sensor. The multidimensional signals link by transformation. This transformation includes offsets, scale, and rotation. The processing of multidimensional signals has characterized some features, which make superposition difficult. This is an irregular sampling step and no matching between points of processing signals. We developed the algorithm on-base iteration procedure for this issue. The procedure includes the offsets estimation in the Cartesian system, and it includes the scale and rotates in the log-polar coordinate system. The numerical simulation allows the estimate of superposition parameters error. The simulation shows that superposition parameters error of developed algorithm likes error by brute force algorithm, but the developed algorithm is faster. The developed algorithm can use in a system that works in real-time.

Citation Download Citation

Rinat R. Diyazitdinov "Iteration algorithm for offsets, scale and rotate estimation for multidimensional signals superposition of optical triangulation sensor", Proc. SPIE 12295, Optical Technologies for Telecommunications 2021, 122950O (25 July 2022); https://doi.org/10.1117/12.2630867

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