Efficient planar camera calibration via automatic image selection
Byrne, Brendan P. and Mallon, John and Whelan, Paul F. (2009) Efficient planar camera calibration via automatic image selection. In: 4th international conference on computer vision theory and applications, 5-8 Feb 2009, Lisbon, Portugal.
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This paper details a novel approach to automatically selecting images which improve camera calibration results. An algorithm is presented which identiﬁes calibration images that inherently improve camera parameter estimates based on their geometric conﬁguration or image network geometry. Analysing images in a more intuitive geometric framework allows image networks to be formed based on the relationship between their world to image homographies. Geometrically, it is equivalent to enforcing maximum independence between calibration images, this ensures accuracy and stability when solving the planar calibration equations. A webcam application using the proposed strategy is presented. This demonstrates that careful consideration of image network geometry, which has largely been neglected within the community, can yield more accurate parameter estimates with less images.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||computer vision; image analysis; Planar Camera Calibration; Image Network; Automatic Image Selection|
|DCU Faculties and Centres:||DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering|
|Published in:||Proceedings of the fourth international conference on computer vision theory and applications. 1.|
|Use License:||This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License|
|Deposited On:||14 Aug 2013 11:17 by Mark Sweeney. Last Modified 27 Oct 2017 10:28|
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