MaSmartPhoneInUnregisteredEnv

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

Smart-Phone Incremental Pose Tracking In Unregistered Environments


ProjectForm
Title: Smart-Phone Incremental Pose Tracking In Unregistered Environments
Abstract: The topic for this thesis was developed as a complement to the rapidly evolving market in mobile computation and the potential for innovative means of user interaction. Ever increasing speed and efficiency within non-traditional computing platforms, such as smartphones, may lead to a of commoditization of processing power, such as has occurred with memory storage. In practice, this means not only the possibility for high computational load tasks, but for the use of not yet developed forms of user interaction. This creates a market need not yet adequately addressed by the current state of the art. We seek to address this need with the creation of an a priori method for tracking three dimensional motion on an isolated mobile device. There have been many useful and well implemented solutions for advancing the field of motion tracking on mobile devices. Three weakness common to many current methods addressed by the present proposal are the requirement for a marker to be present within the the camera’s field of vision, for the user to limit his range of motion, or for the user to perform some initial calibration steps. It is hoped that the algorithm developed herein will, in practice, build upon prior achievements and advance us another step toward creating a seamless user interface for mobile platforms.
Student:  
Director: Prof. Gudrun Klinker, PhD.
Supervisor: M.Sc.-Inf Frieder Pankratz
Type: Master Thesis
Area: Computer Vision
Status: finished
Start: 15.03.2012
Finish: 15.08.2012
Thesis (optional):  
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Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 14 May 2012 - 13:17 - FriederPankratz