Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2009-02-12
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
This paper presents an implementation of a markerless tracking technique targeted to the Windows Mobile Pocket PC platform. The primary aim of this work is to allow the development of standalone augmented reality applications for handheld devices based on natural feature tracking. In order to achieve this goal, a subset of two computer vision libraries was ported to the Pocket PC platform. They were also adapted to use fixed point math, with the purpose of improving the overall performance of the routines. The port of these libraries opens up the possibility of having other computer vision tasks being executed on mobile platforms. A model based tracking approach that relies on edge information was adopted. Since it does not require a high processing power, it is suitable for constrained devices such as handhelds. The OpenGL ES graphics library was used to perform computer vision tasks, taking advantage of existing graphics hardware acceleration. An augmented reality application was created using the implemented technique and evaluations were done regarding tracking performance and accuracy
Kelner Judith
Lima Joao Paulo
Teichrieb Veronica
No associations
LandOfFree
A Standalone Markerless 3D Tracker for Handheld Augmented Reality does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Standalone Markerless 3D Tracker for Handheld Augmented Reality, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Standalone Markerless 3D Tracker for Handheld Augmented Reality will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-556956