Abstract
Optical tracking is a large field of research with countless sophisticated methods for a multitude of applications. However, there always exist tasks with special requirements and constraints that are not covered by traditional methods. This work presents a puzzle-based approach to tackle the problem of tracking all 6 degrees of freedom of a rigid object with few trackable features using a multi camera system. The presented algorithm capitalizes on non-sequential processing to assemble tracking information bit by bit. Validation shows that it achieves very high accuracy on real data.
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Schmid, S., Jiang, X., Schäfers, K. (2015). Puzzle Approach to Pose Tracking of a Rigid Object in a Multi Camera System. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_28
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DOI: https://doi.org/10.1007/978-3-319-23192-1_28
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