Paper
8 February 2017 Portable digital device UHDTV panoramic image formation
I. S. Konstantinov, S. A. Lazarev, K. A. Rubcov, Y. N. Maslakov
Author Affiliations +
Proceedings Volume 10253, 2016 International Conference on Robotics and Machine Vision; 1025309 (2017) https://doi.org/10.1117/12.2266564
Event: 2016 International Conference on Robotics and Machine Vision, 2016, Moscow, Russia
Abstract
Systems of panoramic photography and video are developed, as a rule, on the basis of an array of light-sensitive sensors, with different ways of positioning in space. The authors developed a high-quality portable system panoramic photo and video using a 12 light-sensitive sensors and the formation of the video standard Ultra HD 4K. According to the simulation results, it was found that the optimal arrangement of 12 the light-sensitive sensors in conjunction with lenses is their location in the center of the dodecahedron faces. In this case, part of the image formed on each photosensitive lens sensor is unique (not repeating other sensors) as part of the panorama of a regular pentagon. This design allows you to create a panorama of 360-degrees. The developed system is a panoramic photo and video, using PLD (programmable logic devices) and includes modules removal of distortions, masking, calibration, image formation on the sphere describing the dodecahedron and obtaining equidistant projection, modules and compression encoding an image. The article presents the basic elements of the developed system of panoramic photography and video.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. S. Konstantinov, S. A. Lazarev, K. A. Rubcov, and Y. N. Maslakov "Portable digital device UHDTV panoramic image formation", Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 1025309 (8 February 2017); https://doi.org/10.1117/12.2266564
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KEYWORDS
Panoramic photography

Sensors

Video

Algorithm development

Image acquisition

Calibration

Image sensors

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