Equal Baseline Camera Array—Calibration, Testbed and Applications
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 possibil...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/18/8464 |
| _version_ | 1797520391227310080 |
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| author | Adam L. Kaczmarek Bernhard Blaschitz |
| author_facet | Adam L. Kaczmarek Bernhard Blaschitz |
| author_sort | Adam L. Kaczmarek |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T07:56:06Z |
| format | Article |
| id | doaj.art-6e0208a7575b44b3879135c2d18aeebe |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:56:06Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6e0208a7575b44b3879135c2d18aeebe2023-11-22T11:53:08ZengMDPI AGApplied Sciences2076-34172021-09-011118846410.3390/app11188464Equal Baseline Camera Array—Calibration, Testbed and ApplicationsAdam L. Kaczmarek0Bernhard Blaschitz1Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, ul. G. Narutowicza 11/12, 80-233 Gdansk, PolandCenter for Vision, Automation and Control, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, AustriaThis 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.https://www.mdpi.com/2076-3417/11/18/8464stereo cameracamera arraydepth sensordisparity mapdepth map3D vision |
| spellingShingle | Adam L. Kaczmarek Bernhard Blaschitz Equal Baseline Camera Array—Calibration, Testbed and Applications Applied Sciences stereo camera camera array depth sensor disparity map depth map 3D vision |
| title | Equal Baseline Camera Array—Calibration, Testbed and Applications |
| title_full | Equal Baseline Camera Array—Calibration, Testbed and Applications |
| title_fullStr | Equal Baseline Camera Array—Calibration, Testbed and Applications |
| title_full_unstemmed | Equal Baseline Camera Array—Calibration, Testbed and Applications |
| title_short | Equal Baseline Camera Array—Calibration, Testbed and Applications |
| title_sort | equal baseline camera array calibration testbed and applications |
| topic | stereo camera camera array depth sensor disparity map depth map 3D vision |
| url | https://www.mdpi.com/2076-3417/11/18/8464 |
| work_keys_str_mv | AT adamlkaczmarek equalbaselinecameraarraycalibrationtestbedandapplications AT bernhardblaschitz equalbaselinecameraarraycalibrationtestbedandapplications |