Dame10c
A. Dame, E. Marchand. Accurate real-time tracking using mutual information. In IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'10, Pages 47-56, Seoul, Korea, October 2010.
Download [help]
Download paper:
Doi page 
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 2002-2024, Projet Lagadic/Rainbow
Abstract
In this paper we present a direct tracking approach that uses Mutual Information (MI) as a metric for alignment. The proposed approach is robust, real-time and gives an accurate estimation of the displace- ment that makes it adapted to augmented reality applications. MI is a measure of the quantity of information shared by signals that has been widely used in medical applications. Since then, and although MI has the ability to perform robust alignment with illumination changes, multi-modality and partial occlusions, few works propose MI-based applications related to object tracking in image sequences due to some optimization problems. In this work, we propose an optimization method that is adapted to the MI cost function and gives a practical solution for augmented reality application. We show that by refining the computation of the Hessian matrix and using a specific optimization approach, the tracking results are far more robust and accurate than the existing solutions. A new approach is also proposed to speed up the compu- tation of the derivatives and keep the same optimization efficiency. To validate the advantages of the proposed approach, several ex- periments are performed. The ESM and the proposed MI tracking approaches are compared on a standard dataset. We also show the robustness of the proposed approach on registration applications with different sensor modalities: map versus satellite images and satellite images versus airborne infrared images within different AR applications
Contact
BibTex Reference
@InProceedings{Dame10c,
Author = {Dame, A. and Marchand, E.},
Title = {Accurate real-time tracking using mutual information},
BookTitle = {IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'10},
Pages = {47--56},
Address = {Seoul, Korea},
Month = {October},
Year = {2010}
}
EndNote Reference [help]
Get EndNote Reference (.ref)