Pose Estimation of Uncooperative Unknown Space Objects from a Single Image
Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects witho...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/9966311 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556863359549440 |
|---|---|
| author | Xiaoyuan Ren Libing Jiang Zhuang Wang |
| author_facet | Xiaoyuan Ren Libing Jiang Zhuang Wang |
| author_sort | Xiaoyuan Ren |
| collection | DOAJ |
| description | Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects without the known geometry of the object. In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. In this paper, a hierarchical shape model is proposed to represent the prior structure information of typical space objects. On this basis, the parameters of the pose and shape are estimated simultaneously for unknown space objects. Experimental results demonstrate the effectiveness of our method to estimate the 3D pose and infer the geometry of unknown typical space objects from a single image. Moreover, experimental results show the advantage of our approach over the methods relying on the known geometry of the object. |
| format | Article |
| id | doaj-art-03305ee258ca43ac87c741b37f8a2ddc |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-03305ee258ca43ac87c741b37f8a2ddc2025-02-03T05:44:12ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742020-01-01202010.1155/2020/99663119966311Pose Estimation of Uncooperative Unknown Space Objects from a Single ImageXiaoyuan Ren0Libing Jiang1Zhuang Wang2Automatic Target Recognition Laboratory, National University of Defense Technology, 410073, ChinaAutomatic Target Recognition Laboratory, National University of Defense Technology, 410073, ChinaAutomatic Target Recognition Laboratory, National University of Defense Technology, 410073, ChinaEstimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects without the known geometry of the object. In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. In this paper, a hierarchical shape model is proposed to represent the prior structure information of typical space objects. On this basis, the parameters of the pose and shape are estimated simultaneously for unknown space objects. Experimental results demonstrate the effectiveness of our method to estimate the 3D pose and infer the geometry of unknown typical space objects from a single image. Moreover, experimental results show the advantage of our approach over the methods relying on the known geometry of the object.http://dx.doi.org/10.1155/2020/9966311 |
| spellingShingle | Xiaoyuan Ren Libing Jiang Zhuang Wang Pose Estimation of Uncooperative Unknown Space Objects from a Single Image International Journal of Aerospace Engineering |
| title | Pose Estimation of Uncooperative Unknown Space Objects from a Single Image |
| title_full | Pose Estimation of Uncooperative Unknown Space Objects from a Single Image |
| title_fullStr | Pose Estimation of Uncooperative Unknown Space Objects from a Single Image |
| title_full_unstemmed | Pose Estimation of Uncooperative Unknown Space Objects from a Single Image |
| title_short | Pose Estimation of Uncooperative Unknown Space Objects from a Single Image |
| title_sort | pose estimation of uncooperative unknown space objects from a single image |
| url | http://dx.doi.org/10.1155/2020/9966311 |
| work_keys_str_mv | AT xiaoyuanren poseestimationofuncooperativeunknownspaceobjectsfromasingleimage AT libingjiang poseestimationofuncooperativeunknownspaceobjectsfromasingleimage AT zhuangwang poseestimationofuncooperativeunknownspaceobjectsfromasingleimage |