Abstract
We describe a generic scheme for constructing signal representations that are (quasi-)invariant to perturbations of the domain. It is motivated from first principles and based on the preservation of topology under homeomorphisms. Under certain assumptions the resulting models can be used as direct plug ins to render an existing signal processing algorithm invariant. We show one concretization of the general scheme and develop it into a computational procedure that leads to applications in image processing and computer vision. The latter factorizes the n−dimensional problem into an ensemble of one-dimensional problems, which in turn can be reduced to proving the existence of paths in a graph. We show empirical results on real-world data in two important problems in computer vision, template matching and online tracking.
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Ernst, J. (2017). A Flexible Scheme for Constructing (Quasi-)Invariant Signal Representations. In: Balan, R., Benedetto, J., Czaja, W., Dellatorre, M., Okoudjou, K. (eds) Excursions in Harmonic Analysis, Volume 5. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-54711-4_11
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DOI: https://doi.org/10.1007/978-3-319-54711-4_11
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