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Auto-calibration of a compound-type omnidirectional camera

Conference Paper


Abstract


  • We propose a method for auto-calibrating a compound-type omnidirectional camera (system). This camera produces spherical panoramic image through stitching some individual images captured by several modular cameras, each of which covers a different field of view of the full viewing sphere. By auto-calibration we mean that our algorithm works online in a self-calibration manner: it receives as input image point correspondences only, and outputs all the camera parameters. The calibration task consists of lens-distortion-removal, intrinsic-calibration, and relative-orientation. The focus of the paper is an algorithm for automatically removing lens distortion. By exploiting planar projective invariants, our algorithm is capable of estimating centre-of-distortion and distortion parameters efficiently without using any nonlinear iteration. © 2005 IEEE.

Publication Date


  • 2005

Citation


  • Li, H., Hartley, R., & Wang, L. (2005). Auto-calibration of a compound-type omnidirectional camera. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 Vol. 2005 (pp. 176-183). doi:10.1109/DICTA.2005.1578124

Scopus Eid


  • 2-s2.0-33846941906

Web Of Science Accession Number


Start Page


  • 176

End Page


  • 183

Volume


  • 2005

Abstract


  • We propose a method for auto-calibrating a compound-type omnidirectional camera (system). This camera produces spherical panoramic image through stitching some individual images captured by several modular cameras, each of which covers a different field of view of the full viewing sphere. By auto-calibration we mean that our algorithm works online in a self-calibration manner: it receives as input image point correspondences only, and outputs all the camera parameters. The calibration task consists of lens-distortion-removal, intrinsic-calibration, and relative-orientation. The focus of the paper is an algorithm for automatically removing lens distortion. By exploiting planar projective invariants, our algorithm is capable of estimating centre-of-distortion and distortion parameters efficiently without using any nonlinear iteration. © 2005 IEEE.

Publication Date


  • 2005

Citation


  • Li, H., Hartley, R., & Wang, L. (2005). Auto-calibration of a compound-type omnidirectional camera. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 Vol. 2005 (pp. 176-183). doi:10.1109/DICTA.2005.1578124

Scopus Eid


  • 2-s2.0-33846941906

Web Of Science Accession Number


Start Page


  • 176

End Page


  • 183

Volume


  • 2005