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Volume 34 #3

Contents

  1. Variability of the pattern VEP parameters in children without visual impairment and questions of preclinical diagnostics
  2. Three tactics for gene therapy of two congenital retinal diseases. Review
  3. Discrimination of rippled spectra with different ripple densities
  4. Method of iterative tomography reconstruction of cropped sinograms
  5. ANALYSIS OF A STOPPING METHOD FOR TEXT RECOGNITION IN VIDEO STREAM USING AN EXTENDED RESULT MODEL WITH PER-CHARACTER ALTERNATIVES
  6. Recognition of projectively transformed planar figures. XIV. New methods for projectively-invariant description of ovals, using an H-polar curve and dual points
  7. Radial distortion correction for camera submerged under water

Radial distortion correction for camera submerged under water

© 2020 D. D. Senshina, A. A. Glikin, D. V. Polevoy, I. A. Kunina, E. I. Ershov, A. A. Smagina

Institute for Information Transmission Problems, Russian Academy of Sciences 127994 Moscow, Bolshoy Karetny per., 19, Russia
Moscow Institute of Physics and Technology (National Research University), 141701 Dolgoprudny, Institutskiy per., 9, Russia
Institute for System Analysis of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences 117312 Moscow, pr. 60-letiya Oktyabrya, 9, Russia
National University of Science and Technology “MISIS” 119991 Moscow, Leninsky prospect, 4, Russia
Smart Engines Service LLC 117312 Moscow, pr. 60-letiya Oktyabrya, 9, Russia

Received 19 Mar 2020

The paper investigates the practical applicability of the formula for the radial distortion correction of images that occurs when the camera is immersed in water. To evaluate the quality of correction, a new dataset of underwater images of a chessboard with various refractive indices has been collected. The refractive index was controlled by the degree of salinity of the water. The assembled dataset consists of 662 images, each of which manually marked the nodal points of the chessboard. For collection, two different mobile phone cameras were used: standard and wide-angle. The experiments showed that the radial distortion correction formula allows correcting images with high accuracy comparable to the accuracy of classical calibration algorithms. It is also shown in the work that such a correction method is resistant to small inaccuracies in the indication of the refractive index of water.

Key words: underwater shooting, radial distortion, camera calibration, refractive index

DOI: 10.31857/S0235009220030087

Cite: Senshina D. D., Glikin A. A., Polevoy D. V., Kunina I. A., Ershov E. I., Smagina A. A. Korrektsiya radialnoi distorsii pri pogruzhenii kamery pod vodu [Radial distortion correction for camera submerged under water]. Sensornye sistemy [Sensory systems]. 2020. V. 34(3). P. 254-264 (in Russian). doi: 10.31857/S0235009220030087

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