Image superimposition technique in computer vision systems using contour analysis methods

Efimov, Aleksey I.; Novikov, A. I.; Sablina, Victoria A.

doi:10.1109/meco.2016.7525721

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…[7] apply for this purpose the methods of diffuse morphology and diffuse correlation. Efimov, Novikov, and Sablina [8] perform a search for descriptors along the contours. If it is required to superimpose images of distant objects, then the pixel coordinates of pairs of correspondences can be determined even in manual mode [9][10][11][12].…”

Section: Related Workmentioning

confidence: 99%

Planar Test Objects for Photogrammetric Calibration of Enhanced Vision Systems Cameras: Application Practice

Kholopov

Kudinov

Nikiforov

2022

Proceedings of the 32nd International Conference on Computer Graphics and Vision

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Two variants of constructs of planar test objects, which can be used to evaluate the internal and external parameters of video cameras operating as part of an enhanced vision system consisting of several video cameras in the visible and infrared wavelength ranges, are considered: with stationary electric heater and with portable electric heater like dock station. The design of both planar test objects consists of the light planar aluminum plate, squares from dark vinyl film, electric heating element and thermostat. The design of the device for performing automated camera calibration is presented. It is shown that the evaluation of the homography matrix based on the results of the performed preliminary calibration makes it possible to superimpose visible and long wave infrared images with an absolute error of the order of units of pixels.

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