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题名:
Learning and Vision-Based Obstacle Avoidance and Navigation
作者: Tian JD(田建东); Tang YD(唐延东)
作者部门: 机器人学研究室
专著(文集)名: ROBOT INTELLIGENCE: AN ADVANCED KNOWLEDGE PROCESSING APPROACH
编著者: Honghai Liu
出版者: SPRINGER-VERLAG
出版地: BERLIN
出版日期: 2010
ISBN号: 978-1-84996-328-2
出处页码: 143-167
摘要: A novel algorithm for camera calibration and correction is proposed in this chapter. A model of camera distortion is built without any prior knowledge. The calibration parameters are obtained by optimizing an objective function about the sum of the back projection errors using the LM algorithm. Also the distorted images are corrected by using the LM algorithm. A comparative study based on both synthetic data and real images corrupted by noise shows that the proposed algorithm successfully calibrated and corrected the distorted image.
语种: 英语
产权排序: 1
内容类型: 专著章节/文集论文
URI标识: http://ir.sia.cn/handle/173321/9008
Appears in Collections:机器人学研究室_专著章节/文集论文

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Recommended Citation:
Tian JD,Tang YD. Learning and Vision-Based Obstacle Avoidance and Navigation. ROBOT INTELLIGENCE: AN ADVANCED KNOWLEDGE PROCESSING APPROACH. BERLIN:SPRINGER-VERLAG,2010:143-167.
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