Reduced Calibration Strategy Using a Basketball for RGB-D Cameras
RGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires calibration to minimize alignment errors, adj...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/12/2085 |
| _version_ | 1797484703468486656 |
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| author | Luis-Rogelio Roman-Rivera Israel Sotelo-Rodríguez Jesus Carlos Pedraza-Ortega Marco Antonio Aceves-Fernandez Juan Manuel Ramos-Arreguín Efrén Gorrostieta-Hurtado |
| author_facet | Luis-Rogelio Roman-Rivera Israel Sotelo-Rodríguez Jesus Carlos Pedraza-Ortega Marco Antonio Aceves-Fernandez Juan Manuel Ramos-Arreguín Efrén Gorrostieta-Hurtado |
| author_sort | Luis-Rogelio Roman-Rivera |
| collection | DOAJ |
| description | RGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires calibration to minimize alignment errors, adjust precision, and improve data quality in general. Standard calibration protocols for RGB-D cameras require a controlled environment to allow operators to take many RGB and depth pair images as an input for calibration frameworks making the calibration protocol challenging to implement without ideal conditions and the operator experience. In this work, we proposed a novel strategy that simplifies the calibration protocol by requiring fewer images than other methods. Our strategy uses an ordinary object, a know-size basketball, as a ground truth sphere geometry during the calibration. Our experiments show comparable results requiring fewer images and non-ideal scene conditions than a reference method to align color and depth image layers. |
| first_indexed | 2024-03-09T23:08:14Z |
| format | Article |
| id | doaj.art-cc800563f6cf4ee68ddd76711a82877e |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:08:14Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-cc800563f6cf4ee68ddd76711a82877e2023-11-23T17:49:29ZengMDPI AGMathematics2227-73902022-06-011012208510.3390/math10122085Reduced Calibration Strategy Using a Basketball for RGB-D CamerasLuis-Rogelio Roman-Rivera0Israel Sotelo-Rodríguez1Jesus Carlos Pedraza-Ortega2Marco Antonio Aceves-Fernandez3Juan Manuel Ramos-Arreguín4Efrén Gorrostieta-Hurtado5Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoFacultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoFacultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoFacultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoFacultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoFacultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Querétaro C.P. 76010, MexicoRGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires calibration to minimize alignment errors, adjust precision, and improve data quality in general. Standard calibration protocols for RGB-D cameras require a controlled environment to allow operators to take many RGB and depth pair images as an input for calibration frameworks making the calibration protocol challenging to implement without ideal conditions and the operator experience. In this work, we proposed a novel strategy that simplifies the calibration protocol by requiring fewer images than other methods. Our strategy uses an ordinary object, a know-size basketball, as a ground truth sphere geometry during the calibration. Our experiments show comparable results requiring fewer images and non-ideal scene conditions than a reference method to align color and depth image layers.https://www.mdpi.com/2227-7390/10/12/2085RGB-D cameraRGB-D camera calibrationspherical object3D reconstructionsphere detection |
| spellingShingle | Luis-Rogelio Roman-Rivera Israel Sotelo-Rodríguez Jesus Carlos Pedraza-Ortega Marco Antonio Aceves-Fernandez Juan Manuel Ramos-Arreguín Efrén Gorrostieta-Hurtado Reduced Calibration Strategy Using a Basketball for RGB-D Cameras Mathematics RGB-D camera RGB-D camera calibration spherical object 3D reconstruction sphere detection |
| title | Reduced Calibration Strategy Using a Basketball for RGB-D Cameras |
| title_full | Reduced Calibration Strategy Using a Basketball for RGB-D Cameras |
| title_fullStr | Reduced Calibration Strategy Using a Basketball for RGB-D Cameras |
| title_full_unstemmed | Reduced Calibration Strategy Using a Basketball for RGB-D Cameras |
| title_short | Reduced Calibration Strategy Using a Basketball for RGB-D Cameras |
| title_sort | reduced calibration strategy using a basketball for rgb d cameras |
| topic | RGB-D camera RGB-D camera calibration spherical object 3D reconstruction sphere detection |
| url | https://www.mdpi.com/2227-7390/10/12/2085 |
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