Talks and Poster Presentations (with Proceedings-Entry):

I. Janusch, W. Kropatsch:
"Persistence based on lbp scale space";
Talk: CTIC 2016 6th International Workshop on Computational Topology in Image Context 2016, Marseille, France; 2016-06-15 - 2016-06-17; in: "Proceeding CTIC 2016 Proceedings of the 6th International Workshop on Computational Topology in Image Context", J. Mari, A. Bac (ed.); 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; 240 - 252.

English abstract:
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.

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

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.