Camera Calibration Method Based on Maximum Likelihood Estimation

Authors:
Michifumi Yoshioka;Sigeru Omatu
Affiliations:
Osaka Pref. Univ., Osaka, Japan;Osaka Pref. Univ., Osaka, Japan
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Abstract

The 3D measurement methods are very important in many fields. In particular, the methods based on 3D reconstruction from camera images are actively studied because these are passive detection methods and does not require expensive equipments. However, in order to achieve high accuracy, camera parameter calibration is very important. In this paper, we have proposed a new calibration method based on maximum likelihood estimation and confirmed the effectiveness by experiments.