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Self-calibration of hybrid central catadioptric and perspective cameras
Deng, Xiaoming1; Wu, Fuchao2; Wu, Yihong2; Duan, Fuqing3; Chang, Liang3; Wang, Hongan4
Source PublicationCOMPUTER VISION AND IMAGE UNDERSTANDING
2012-06-01
Volume116Issue:6Pages:715-729
SubtypeArticle
AbstractHybrid 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.
KeywordCentral Catadioptric Camera 3d Imaging Radial Distortion Camera Calibration
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000303430200005
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/2974
Collection多模态人工智能系统全国重点实验室_机器人视觉
Affiliation1.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
Recommended Citation
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.
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