Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model
We have presented a framework to obtain camera pose (i.e., position and orientation in the 3D space) with real scale information of the uncalibrated multi-view images and the intrinsic camera parameters automatically. Our framework consists of two key steps. First, the initial value of the intrinsic...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | http://www.mdpi.com/2220-9964/5/12/244 |
| _version_ | 1819294751674859520 |
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| author | Cailin Li Langming Zhou Wenhe Chen |
| author_facet | Cailin Li Langming Zhou Wenhe Chen |
| author_sort | Cailin Li |
| collection | DOAJ |
| description | We have presented a framework to obtain camera pose (i.e., position and orientation in the 3D space) with real scale information of the uncalibrated multi-view images and the intrinsic camera parameters automatically. Our framework consists of two key steps. First, the initial value of the intrinsic camera and the pose parameters were extracted from homography estimation based on the contour model of some planar objects. Second, a refinement of the intrinsic camera and pose parameters was operated by the bundle adjustment procedure. Our framework can provide a complete flow of pose estimation of disorderly or orderly uncalibrated multi-view images, which can be used in vision tasks requiring scale information. Real multi-view images were utilized to demonstrate the robustness, flexibility and accuracy of the proposed framework. The proposed framework was also applied in 3D reconstruction. |
| first_indexed | 2024-12-24T04:31:18Z |
| format | Article |
| id | doaj.art-ec33673340774000bbb34fd262e12cdc |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-24T04:31:18Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-ec33673340774000bbb34fd262e12cdc2022-12-21T17:15:25ZengMDPI AGISPRS International Journal of Geo-Information2220-99642016-12-0151224410.3390/ijgi5120244ijgi5120244Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour ModelCailin Li0Langming Zhou1Wenhe Chen2School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410205, ChinaSchool of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, ChinaWe have presented a framework to obtain camera pose (i.e., position and orientation in the 3D space) with real scale information of the uncalibrated multi-view images and the intrinsic camera parameters automatically. Our framework consists of two key steps. First, the initial value of the intrinsic camera and the pose parameters were extracted from homography estimation based on the contour model of some planar objects. Second, a refinement of the intrinsic camera and pose parameters was operated by the bundle adjustment procedure. Our framework can provide a complete flow of pose estimation of disorderly or orderly uncalibrated multi-view images, which can be used in vision tasks requiring scale information. Real multi-view images were utilized to demonstrate the robustness, flexibility and accuracy of the proposed framework. The proposed framework was also applied in 3D reconstruction.http://www.mdpi.com/2220-9964/5/12/244contour modelhomographypose estimationbundle adjustmentmachine visionmulti-view |
| spellingShingle | Cailin Li Langming Zhou Wenhe Chen Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model ISPRS International Journal of Geo-Information contour model homography pose estimation bundle adjustment machine vision multi-view |
| title | Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model |
| title_full | Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model |
| title_fullStr | Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model |
| title_full_unstemmed | Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model |
| title_short | Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model |
| title_sort | automatic pose estimation of uncalibrated multi view images based on a planar object with a predefined contour model |
| topic | contour model homography pose estimation bundle adjustment machine vision multi-view |
| url | http://www.mdpi.com/2220-9964/5/12/244 |
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