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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

I. Janusch, W. Kropatsch:
"Persistence based on lbp scale space";
Vortrag: CTIC 2016 6th International Workshop on Computational Topology in Image Context 2016, Marseille, France; 15.06.2016 - 17.06.2016; in: "Proceeding CTIC 2016 Proceedings of the 6th International Workshop on Computational Topology in Image Context", J. Mari, A. Bac (Hrg.); Lecture Notes in Computer Science, Springer-Verlag New York, Inc. New York, NY, USA ©2016, volume LNCS 9667, Marseille, F, June 2016 (2016), ISBN: 978-3-319-39440-4; S. 240 - 252.



Kurzfassung englisch:
This paper discusses the connection between the texture operator LBP
(local binary pattern) and an application of LBPs to persistent homology. A shape
representation - the LBP scale space - is defined as a filtration based on the varia-
tion of an LBP parameter. A relation between the LBP scale space and a variation
of thresholds used in the segmentation of a graylevel image is discussed. Using
the LBP scale space a characterization of (parts of) shapes is demonstrated based
on simple shape primitives, the observations may also be generalized for smooth
curves. The LBP scale space is augmented by associating it with polar coordi-
nates (with the origin located at the LBP center). In this way a procedure of shape
reconstruction based on the LBP scale space is defined and its reconstruction ac-
curacy is demonstrated in an experiment. Furthermore, this augmented LBP scale
space representation is invariant to translation and rotation of the shape.

Schlagworte:
LBP, persistence, scale space, filtration, shape analysis, shape recon- struction, segmentation


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-39441-1_22

Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_252842.pdf


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.