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Acquisition of high quality planar patch features

: Wuest, Harald; Wientapper, Folker; Stricker, Didier


Bebis, G.:
Advances in visual computing. 4th International Symposium, ISVC 2008. Proceedings. Pt.1 : Las Vegas, NV, USA, December 1-3, 2008
Berlin: Springer, 2008 (Lecture Notes in Computer Science 5358)
ISBN: 3-540-89638-4
ISBN: 978-3-540-89638-8
ISSN: 0302-9743
International Symposium on Visual Computing (ISVC) <4, 2008, Las Vegas/Nev.>
Fraunhofer IGD ()
augmented reality (AR); camera tracking; surface reconstruction

Camera-based tracking systems which reconstruct a feature map with structure from motion or SLAM techniques highly depend on the ability to track a single feature in different scales, different lighting conditions and a wide range of viewing angles. The acquisition of high quality features is therefore indispensable for a continuous tracking of a feature with a maximum possible range of valid appearances.
We present a tracking system where not only the position of a feature but also its surface normal is reconstructed and used for precise prediction and tracking recovery of lost features. The appearance of a reference patch is also estimated sequentially and refined during the tracking, which leads to a more stable feature tracking step. Such reconstructed reference templates can be used for tracking a camera pose with a great variety of viewing positions.
This feature reconstruction process is combined with a feature management system, where a statistical analysis of the ability to track a feature is performed, and only the most stable features for a given camera viewing position are used for the 2D feature tracking step. This approach results in a map of high quality features, where the real time capabilities can be preserved by only tracking the most necessary 2D feature points.