ProjectIntensityBasedTracking

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Intensity-based Tracking

Intensity-based Tracking

Scientific Director: Nassir Navab

Contact Person(s): Selim Benhimane

Keywords: Computer Vision

Abstract

In this project, we are interested in the fundamental problem of simultaneously tracking a piecewise-planar scene and accurately estimating the 3D displacement of the camera. The objective is to have an algorithm with a higher convergence frequency and a higher convergence rate than standard optimization methods while having an equivalent computational complexity. Since the tracking is aimed to be used in industrial real-time augmented reality applications, in addition to the robustness and the speed performance, the algorithm should be very precise. For some applications, we are investigating alternatives where an off-line learning step improves the efficiency and the convergence properties of the tracking algorithm.

Pictures

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Videos

Publications

Team

Contact Person(s)

Selim Benhimane
Dr. Eng. Selim Benhimane

Working Group

Alexander Ladikos
Dr. Alexander Ladikos
Nassir Navab
Prof. Dr. Nassir Navab
Stefan Hinterstoisser
Dipl.-Inf. Univ. Stefan Hinterstoisser

Alumni

Matthias Grundmann
Matthias Grundmann

Location



Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.



internal project page

Please contact Selim Benhimane for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.18 - 25 Mar 2009 - 10:39 - AndreasKeil

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