Abstract
A new autocalibration algorithm has been recently presented by Mendonça and Cipolla which is both simple and nearly globally convergent. Analysis of convergence is missing in the original article. This paper fills the gap, presenting an extensive experimental evaluation of the Mendonça and Cipolla algorithm, aimed at assessing both accuracy and sensitivity to initialization. Results show that its accuracy is fair, and - remarkably - it converges from almost everywhere. This is very significant, because most of the existing algorithms are either complicated or they need to be started very close to the solution.
This article has been written while the author was a Visiting Research Fellow at the Department of Computing and Electrical Engineering - Heriot-Watt University, supported by EPSRC (Grant GR/M40844).
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© 2001 Springer-Verlag Berlin Heidelberg
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Fusiello, A. (2001). A New Autocalibration Algorithm: Experimental Evaluation. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_86
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DOI: https://doi.org/10.1007/3-540-44692-3_86
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