Abstract
High position and orientation accuracy is required in augmented reality systems.This paper presents an extension to the well known XVision library for real-time tracking. We implement a real-time sub-pixel accuracy edge tracking algorithm estimating edge position and orientation based on “virtual edge” localization in a 5 x 5 window. In addition, we give a simple yet efficient heuristic for identifying corners. Experiments demonstrate results for sub-pixel edge and corner tracking superior to the original XVision primitives.
This work has been supported by the Austrian Science Fund (FWF) under contract number P-12074-MAT. The “Studierstube” is a joint project with the Vienna University of Technology. We want to thank Joachim Steinwendner for his input in designing the sub-pixel tracking algorithm.
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References
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© 1999 Springer-Verlag Berlin Heidelberg
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Brantner, S., Auer, T., Pinz, A. (1999). Real-Time Optical Edge and Corner Tracking at Subpixel Accuracy. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_64
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DOI: https://doi.org/10.1007/3-540-48375-6_64
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