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  • 标题:Panorama-based camera calibration
  • 本地全文:下载
  • 作者:Bertrand Cannelle ; Nicolas Paparoditis ; Olivier Tournaire
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 3A
  • 页码:73-78
  • 出版社:Copernicus Publications
  • 摘要:This paper presents a method to calibrate a camera from panoramas. Camera calibration using panoramas has two main advantages: on the one hand it requires neither ground control points or calibration patterns and on the other hand the estimation of intrinsic and distortion parameters is of higher quality due to the loop constraint and to a decorrelation of tied parameters due to the fixed perspective center. The paper is organised as follow. The first part presents the acquisition process and our mathematical estimation framework. The second part explores with simulated data sets the impact of noisy measures, of geometry of acquisition and of unmodelled parallaxes on the calibration results. A comparison with a traditional calibration method (i.e by using a 3D target network) is then studied. The final section presents results in a real case and compares the results obtained with our panorama approach against the classical calibration. The results are very promising
  • 关键词:Camera calibration; panorama; self-calibration; bundle adjustment
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