A. Dame, E. Marchand. Improving mutual information based visual servoing. In IEEE Int. Conf. on Robotics and Automation, ICRA'10, Pages 5531-5536, Anchorage, Alaska, May 2010.
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2015, Projet Lagadic
In a previous paper, we proposed a new way to achieve visual servoing. Rather than minimizing the error between the position of two set of geometric features, we proposed to maximize the mutual information shared by the current and desired images. This leads to a new information theoretic approach to visual servoing. Mutual information is a well known alignment function. Thanks to its robustness toward illumination variations, occlusions and multi modality, it has been widely used in medical applications for alignment as well as in general tracking problems. Despite those previous works, no highlight has been given on the problem of Hessian computation that yields, in the case of common approximations, to divergence of the optimization process. In this paper we focus on the need of computing the second order derivative of the mutual information in visual servoing. Experiments on a 6 dof robot demonstrates the significance of this works on visual servoing tasks
@InProceedings{Dame10b,
Author = {Dame, A. and Marchand, E.},
Title = {Improving mutual information based visual servoing},
BookTitle = {IEEE Int. Conf. on Robotics and Automation, ICRA'10},
Pages = {5531--5536},
Address = {Anchorage, Alaska},
Month = {May},
Year = {2010}
}
Get EndNote Reference (.ref)
|
| Lagadic
| Map
| Team
| Publications
| Demonstrations
|
Irisa - Inria - Copyright 2009 © Lagadic Project |
