Depth error correction for projector-camera based consumer depth cameras
Abstract This paper proposes a depth measurement error model for consumer depth cameras such as the Microsoft Kinect, and a corresponding calibration method. These devices were originally designed as video game interfaces, and their output depth maps usually lack sufficient accuracy for 3D measureme...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-03-01
|
| Series: | Computational Visual Media |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s41095-017-0103-7 |
| _version_ | 1828341649355309056 |
|---|---|
| author | Hirotake Yamazoe Hiroshi Habe Ikuhisa Mitsugami Yasushi Yagi |
| author_facet | Hirotake Yamazoe Hiroshi Habe Ikuhisa Mitsugami Yasushi Yagi |
| author_sort | Hirotake Yamazoe |
| collection | DOAJ |
| description | Abstract This paper proposes a depth measurement error model for consumer depth cameras such as the Microsoft Kinect, and a corresponding calibration method. These devices were originally designed as video game interfaces, and their output depth maps usually lack sufficient accuracy for 3D measurement. Models have been proposed to reduce these depth errors, but they only consider camera-related causes. Since the depth sensors are based on projector-camera systems, we should also consider projector-related causes. Also, previous models require disparity observations, which are usually not output by such sensors, so cannot be employed in practice. We give an alternative error model for projector-camera based consumer depth cameras, based on their depth measurement algorithm, and intrinsic parameters of the camera and the projector; it does not need disparity values. We also give a corresponding new parameter estimation method which simply needs observation of a planar board. Our calibrated error model allows use of a consumer depth sensor as a 3D measuring device. Experimental results show the validity and effectiveness of the error model and calibration procedure. |
| first_indexed | 2024-04-13T23:17:09Z |
| format | Article |
| id | doaj.art-25a7decf1914456ca6de566ae2a54754 |
| institution | Directory Open Access Journal |
| issn | 2096-0433 2096-0662 |
| language | English |
| last_indexed | 2024-04-13T23:17:09Z |
| publishDate | 2018-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Computational Visual Media |
| spelling | doaj.art-25a7decf1914456ca6de566ae2a547542022-12-22T02:25:22ZengSpringerOpenComputational Visual Media2096-04332096-06622018-03-014210311110.1007/s41095-017-0103-7Depth error correction for projector-camera based consumer depth camerasHirotake Yamazoe0Hiroshi Habe1Ikuhisa Mitsugami2Yasushi Yagi3College of Information Science and Engineering, Ritsumeikan UniversityFaculty of Science and Engineering, Kindai UniversityGraduate School of Information Sciences, Hiroshima City UniversityThe Institute of Scientific and Industrial Research, Osaka UniversityAbstract This paper proposes a depth measurement error model for consumer depth cameras such as the Microsoft Kinect, and a corresponding calibration method. These devices were originally designed as video game interfaces, and their output depth maps usually lack sufficient accuracy for 3D measurement. Models have been proposed to reduce these depth errors, but they only consider camera-related causes. Since the depth sensors are based on projector-camera systems, we should also consider projector-related causes. Also, previous models require disparity observations, which are usually not output by such sensors, so cannot be employed in practice. We give an alternative error model for projector-camera based consumer depth cameras, based on their depth measurement algorithm, and intrinsic parameters of the camera and the projector; it does not need disparity values. We also give a corresponding new parameter estimation method which simply needs observation of a planar board. Our calibrated error model allows use of a consumer depth sensor as a 3D measuring device. Experimental results show the validity and effectiveness of the error model and calibration procedure.http://link.springer.com/article/10.1007/s41095-017-0103-7consumer depth cameraintrinsic calibrationprojectordistortion |
| spellingShingle | Hirotake Yamazoe Hiroshi Habe Ikuhisa Mitsugami Yasushi Yagi Depth error correction for projector-camera based consumer depth cameras Computational Visual Media consumer depth camera intrinsic calibration projector distortion |
| title | Depth error correction for projector-camera based consumer depth cameras |
| title_full | Depth error correction for projector-camera based consumer depth cameras |
| title_fullStr | Depth error correction for projector-camera based consumer depth cameras |
| title_full_unstemmed | Depth error correction for projector-camera based consumer depth cameras |
| title_short | Depth error correction for projector-camera based consumer depth cameras |
| title_sort | depth error correction for projector camera based consumer depth cameras |
| topic | consumer depth camera intrinsic calibration projector distortion |
| url | http://link.springer.com/article/10.1007/s41095-017-0103-7 |
| work_keys_str_mv | AT hirotakeyamazoe deptherrorcorrectionforprojectorcamerabasedconsumerdepthcameras AT hiroshihabe deptherrorcorrectionforprojectorcamerabasedconsumerdepthcameras AT ikuhisamitsugami deptherrorcorrectionforprojectorcamerabasedconsumerdepthcameras AT yasushiyagi deptherrorcorrectionforprojectorcamerabasedconsumerdepthcameras |