Self-calibration of hybrid central catadioptric and perspective cameras
文献类型：期刊论文
| 作者 | Deng, Xiaoming1; Wu, Fuchao2 ; Wu, Yihong2; Duan, Fuqing3; Chang, Liang3; Wang, Hongan4
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| 刊名 | COMPUTER VISION AND IMAGE UNDERSTANDING
 |
| 出版日期 | 2012-06-01 |
| 卷号 | 116期号:6页码:715-729 |
| 关键词 | Central catadioptric camera 3D imaging Radial distortion Camera calibration |
| 英文摘要 | Hybrid central catadioptric and perspective cameras are desired in practice, because the hybrid camera system can capture large field of view as well as high-resolution images. However, the calibration of the system is challenging due to heavy distortions in catadioptric cameras. In addition, previous calibration methods are only suitable for the camera system consisting of perspective cameras and catadioptric cameras with only parabolic mirrors, in which priors about the intrinsic parameters of perspective cameras are required. In this work, we provide a new approach to handle the problems. We show that if the hybrid camera system consists of at least two central catadioptric and one perspective cameras, both the intrinsic and extrinsic parameters of the system can be calibrated linearly without priors about intrinsic parameters of the perspective cameras, and the supported central catadioptric cameras of our method can be more generic. In this work, an approximated polynomial model is derived and used for rectification of catadioptric image. Firstly, with the epipolar geometry between the perspective and rectified catadioptric images, the distortion parameters of the polynomial model can be estimated linearly. Then a new method is proposed to estimate the intrinsic parameters of a central catadioptric camera with the parameters in the polynomial model, and hence the catadioptric cameras can be calibrated. Finally, a linear self-calibration method for the hybrid system is given with the calibrated catadioptric cameras. The main advantage of our method is that it cannot only calibrate both the intrinsic and extrinsic parameters of the hybrid camera system, but also simplify a traditional nonlinear self-calibration of perspective cameras to a linear process. Experiments show that our proposed method is robust and reliable. (C) 2012 Elsevier Inc. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000303430200005 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2974]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 3.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China 4.Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Deng, Xiaoming,Wu, Fuchao,Wu, Yihong,et al. Self-calibration of hybrid central catadioptric and perspective cameras[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2012,116(6):715-729. |
| APA | Deng, Xiaoming,Wu, Fuchao,Wu, Yihong,Duan, Fuqing,Chang, Liang,&Wang, Hongan.(2012).Self-calibration of hybrid central catadioptric and perspective cameras.COMPUTER VISION AND IMAGE UNDERSTANDING,116(6),715-729. |
| MLA | Deng, Xiaoming,et al."Self-calibration of hybrid central catadioptric and perspective cameras".COMPUTER VISION AND IMAGE UNDERSTANDING 116.6(2012):715-729. |
入库方式： OAI收割
来源：自动化研究所
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