SoftPOSIT: Simultaneous Pose and Correspondence Determination
International Journal of Computer Vision
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CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
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ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
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Computer Vision: Algorithms and Applications
Computer Vision: Algorithms and Applications
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Feature based tracking approaches become more and more common for Augmented Reality (AR). However, most upcoming AR solutions are designed for mobile devices, in particular for smartphones and tablet computers, lacking sufficient performance for the execution of state-of-the art feature based approaches at interactive frame rates. In this paper we will present our approach significantly increasing the speed of feature based tracking, thus allowing for real-time applications even on mobile devices. Our approach applies a randomized pose initialization, is applicable to any feature detector and does not require any feature appearance attributes, such as descriptors or ferns.