Calibration of Partially-Fixed Viewpoint Active Camera
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概要
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The fixed viewpoint (FV) camera, whose projection center stays fixed irrespectively of any camera rotations, enables us to capture very high resolution omni-directional panoramic images as well as facilitates active object tracking in a wide spread area. From an engineering point of view, however, it is hard to develop a very accurate, i.e. of pixel-wise accuracy, FV camera ; while it is not difficult to align a pair of (pan and tilt) rotation axes to intersect at right, the accurate determination of the projection center and its precise alignment at the intersection point require very elaborated works. Moreover, zooming, which shifts the projection center, easily damages the fixed viewpoint property. To develop an easily realizable FV camera, we propose a practical FV camera model named partially-fixed viewpoint (PFV) camera, whose projection center is encased in a limited volume around the rotation center. In this paper, giving a sophisticated camera model for the PFV camera, we conduct extensive experiments for its calibration and analyze characteristics of the employed camera parameters. Then we propose a method that enables us to use a PFV camera as an FV camera. Our basic idea is that 1. Partition the full rotation range into a group of sub-ranges. 2. In each sub-range, determine the camera parameters that enables a PFV camera to be used as an FV camera. 3. Finally, integrate all calibration processes for the sub-ranges so that we can use a PFV camera as an FV camera in the full range of rotation. Experimental results show the effectiveness of the proposed method.
- 一般社団法人情報処理学会の論文
- 2003-03-27
著者
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MATSUYAMA Takashi
Department of Dermatology, Tokai University School of Medicine
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KONDOU Junji
Department of Thoracic and Cardiovascular Surgery, Kawasaki Medical School
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Kondou Junji
Department Of Intelligent Science And Technology Graduate School Of Informatics Kyoto University
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XIAOJUN WU
Department of Intelligent Science and Technology, Graduate School of Informatics, Kyoto University
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Xiaojun Wu
Department Of Intelligent Science And Technology Graduate School Of Informatics Kyoto University
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Matsuyama Takashi
Department Of Intelligent Science And Technology Graduate School Of Informatics Kyoto University
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Wu Xiaojun
Department of Intelligent Science and Technology, Graduate School of Informatics, Kyoto University
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