Abstract
How to make vision system work robustly under dynamic light conditions is still a challenging research focus in robot vision community. In this paper, a novel camera parameters auto-adjusting method based on image entropy is proposed. Firstly image entropy is defined and its relationship with camera parameters is verified by experiments. Then how to optimize the camera parameters based on image entropy is proposed to make robot vision adaptive to the different light conditions. The algorithm is tested using the omnidirectional vision system in indoor RoboCup Middle Size League environment and outdoor RoboCup-like environment, and the results show that our method is effective and color constancy to some extent can be achieved. © 2010 Springer.
Cite
CITATION STYLE
Lu, H., Zhang, H., Yang, S., & Zheng, Z. (2010). A novel camera parameters auto-adjusting method based on image entropy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5949 LNAI, pp. 192–203). https://doi.org/10.1007/978-3-642-11876-0_17
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