Summary
Scale space approach turned out to be a powerful framework for image processing purposes. In this paper we introduce proposal of a scale space concept generalized for datasets of quaternions e.g trajectories representing motion capture data. We introduce equivalents of non-linear and anisotropic simplification operators which exhibit a completely new set of properties. Three groups of applications are considered: trajectory smoothing, meaningful features detection and parameterized signal synthesis. We present a theoretical analysis and the results of numerical experiments.
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Jabłoński, B. (2011). Application of Quaternion Scale Space Approach for Motion Processing. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_16
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DOI: https://doi.org/10.1007/978-3-642-23154-4_16
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