Title :
Photometric moments: New promising candidates for visual servoing
Author :
Bakthavatchalam, Manikandan ; Chaumette, Francois ; Marchand, Eric
Author_Institution :
Inria Rennes Bretagne Atlantique & IRISA, Rennes, France
Abstract :
In this paper, we propose a new type of visual features for visual servoing: photometric moments. These global features do not require any segmentation, matching or tracking steps. The analytical form of the interaction matrix is developed in closed form for these features. Results from experiments carried out with photometric moments have been presented. The results validate our modelling and the control scheme. They perform well for large camera displacements and are endowed with a large convergence domain. From the properties exhibited, photometric moments hold promise as better candidates for IBVS over currently existing geometric and pure luminance features.
Keywords :
convergence; photometry; visual servoing; IBVS; control scheme; geometric features; interaction matrix; large camera displacements; large convergence domain; modelling scheme; photometric moments; pure luminance features; visual features; visual servoing; Cameras; Kernel; Three-dimensional displays; Trajectory; Visual servoing; Visualization;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6631326