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Equal Baseline Camera Array—Calibration, Testbed and Applications

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This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the advantages of a stereo camera such as a possibility to operate in wide range of distances and in highly illuminated areas. In an outdoor environment, the array is a competitive alternative to other 3D imaging equipment such as Structured-light 3D scanners or Light Detection and Ranging (LIDAR). The considered kinds of arrays are called Equal Baseline Camera Array (EBCA). This paper presents a novel approach to calibrating the array based on the use of self-calibration methods. This paper also introduces a testbed which makes it possible to develop new algorithms for obtaining 3D data from images taken by the array. The testbed was released under open-source. Moreover, this paper shows new results of using these arrays with different stereo matching algorithms including an algorithm based on a convolutional neural network and deep learning technology.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Applied Sciences-Basel nr 11,
ISSN: 2076-3417
Język:
angielski
Rok wydania:
2021
Opis bibliograficzny:
Kaczmarek A., Blaschitz B.: Equal Baseline Camera Array—Calibration, Testbed and Applications// Applied Sciences-Basel -Vol. 11,iss. 18/11 (2021), s.8464-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/app11188464
Weryfikacja:
Politechnika Gdańska

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