Using the effect of longitudinal chromatic aberration for measuring distances from a single color photograph

Volkova, M.A., Lutsiv, V.R., Nedoshivina, L.S., Ivanova, A.A.

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For Russian citation (Opticheskii Zhurnal):

Волкова М.А., Луцив В.Р., Недошивина Л.С., Иванова А.А. Использование эффекта продольной хроматической аберрации для измерения расстояний по единственной цветной фотографии // Оптический журнал. 2019. Т. 86. № 1. С. 52–59. http://doi.org/10.17586/1023-5086-2019-86-01-52-59

Volkova M.A., Lutsiv V.R., Nedoshivina L.S., Ivanova A.A. Using the effect of longitudinal chromatic aberration for measuring distances from a single color photograph [in Russian] // Opticheskii Zhurnal. 2019. V. 86. № 1. P. 52–59. http://doi.org/10.17586/1023-5086-2019-86-01-52-59

For citation (Journal of Optical Technology):

M. A. Volkova, V. R. Lutsiv, L. S. Nedoshivina, and A. A. Ivanova, "Using the effect of longitudinal chromatic aberration for measuring distances from a single color photograph," Journal of Optical Technology. 86(1), 42-47 (2019). https://doi.org/10.1364/JOT.86.000042

Abstract:

A method for measuring the distance to photographic objects based on the longitudinal chromatic aberration at which the focal length of the lens and, consequently, the degree of defocusing of the photograph depend on the color range used during shooting is proposed. By performing the local analysis of the spatial Fourier spectrum of the image, which is differently defocused in different spectral ranges, distances are calculated in analytical form. A theoretical justification of the proposed method is provided, and the results of its practical application for measuring distances to objects of the scene with the help of its color photograph taken using an objective with pronounced chromatic aberration are presented.

Keywords:

longitudinal chromatic aberration, aberration of magnification, distance measuring, complex spectrogram, point spread function, defocusing of image, lens formula, optical system calibration

Acknowledgements:

The research was supported by the Ministry of Education and Science of the Russian Federation and partially supported by the leading universities of the Russian Federation (subsidy No. 074-U01). The authors express their gratitude to Ms. Ol’ga Bezymyannykh for her help in developing software models.

OCIS codes: 080.0080, 080.1010, 100.0100, 100.2000, 110.6980

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