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Learning and Vision-Based Obstacle Avoidance and Navigation
Tian JD(田建东); Tang YD(唐延东)
Department机器人学研究室
Source PublicationROBOT INTELLIGENCE: AN ADVANCED KNOWLEDGE PROCESSING APPROACH
ContributorHonghai Liu ; 中国科学院沈阳自动化研究所
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2010
ISBN978-1-84996-328-2
Pages143-167
AbstractA 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.
Language英语
Contribution Rank1
Document Type专著章节
Identifierhttp://ir.sia.cn/handle/173321/9008
Collection机器人学研究室
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Graduate School of the Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
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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