%0 Conference Proceedings %T Unsupervised model-free camera calibration algorithm for robotic applications %+ Laboratoire Psychologie de la Perception (LPP - UMR 8242) %A Montone, Guglielmo %A O'Regan, J. Kevin %A Terekhov, Alexander %< avec comité de lecture %( 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) %B International Conference on Intelligent Robots and Systems (IROS) %C Hamburg, Germany %8 2015-09-28 %D 2015 %R 10.1109/IROS.2015.7353799 %Z Cognitive science/Computer science %Z Computer Science [cs]/Robotics [cs.RO]Conference papers %X This paper presents an algorithm for camera calibration. The algorithm, inspired by work in the field of developmental robotic on the concept of space in naive agents, is particularly suitable for robotic applications: it is completely unsupervised, and it does not assume any model of the camera, making it applicable to many kinds of optical devices. Testing of the algorithm, in a simulated environment, shows very good results, outperforming the main unsupervised and model-free calibration algorithm in the literature. %G English %2 https://u-paris.hal.science/hal-02315914/document %2 https://u-paris.hal.science/hal-02315914/file/Montone.%20Unsupervised%20model-free.pdf %L hal-02315914 %U https://u-paris.hal.science/hal-02315914 %~ UNIV-PARIS5 %~ CNRS %~ UNIV-PARIS