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Abstract
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.
Citations
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Authors (2)
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Bernhard Blaschitz
- Center for Vision, Automation and Control, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app11188464
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Applied Sciences-Basel
no. 11,
ISSN: 2076-3417 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Kaczmarek A., Blaschitz B.: Equal Baseline Camera Array—Calibration, Testbed and Applications// Applied Sciences-Basel -Vol. 11,iss. 18/11 (2021), s.8464-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/app11188464
- Verified by:
- Gdańsk University of Technology
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