Abstract
In this paper, stereoscopic image visualization for teleoperated robots is studied. The use of stereo vision systems shows some difficulties: image disparity is the main problem. It affects the correct image fusion process by the brain. Disparity curve calculations are shown and a method to calibrate stereoscopic images for telerobotics is explained. Experiments have been carried out to obtain the limits for a proper image fusion. The use of stereoscopic image has been assessed to execute teleoperated robot guidance tasks. The performance of stereoscopic and monoscopic image is compared. Stereoscopic images have shown a guaranteed depth perception. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Ferre, M., Cobos, S., Aracil, R., & Urán, M. A. S. (2007). 3D-image visualization and its performance in teleoperation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4563 LNCS, pp. 22–31). Springer Verlag. https://doi.org/10.1007/978-3-540-73335-5_3
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