A New Autocalibration Algorithm: Experimental Evaluation

A new autocalibration algorithm has been recently presented by Mendon¸ca 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 Mendon¸ca 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.

• Type: Conference
• Year: 2001
• Where: CAIP
• Authors: Andrea Fusiello
• Keywords: CAIP 2001, Cipolla Algorithm, Convergence, Image Analysis, Original Article