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Local 2D Pattern Spectra as Connected Region Descriptors

Petra Bosilj 1, 2 Michael Wilkinson 3 Ewa Kijak 1 Sébastien Lefèvre 2
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
2 OBELIX - Environment observation with complex imagery
UBS - Université de Bretagne Sud, IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We validate the usage of augmented 2D shape-size pattern spectra, calculated on arbitrary connected regions. The evaluation is performed on MSER regions and competitive performance with SIFT descriptors achieved in a simple retrieval system, by combining the local pattern spectra with normalized central moments. An additional advantage of the proposed descriptors is their size: being half the size of SIFT, they can handle larger databases in a time-efficient manner. We focus in this paper on presenting the challenges faced when transitioning from global pattern spectra to the local ones. An exhaustive study on the parameters and the properties of the newly constructed descriptor is the main contribution offered. We also consider possible improvements to the quality and computation efficiency of the proposed local descriptors.
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https://hal.archives-ouvertes.fr/hal-01168146
Contributor : Sébastien Lefèvre <>
Submitted on : Wednesday, November 13, 2019 - 6:04:12 PM
Last modification on : Thursday, April 2, 2020 - 1:54:09 AM

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Petra Bosilj, Michael Wilkinson, Ewa Kijak, Sébastien Lefèvre. Local 2D Pattern Spectra as Connected Region Descriptors. International Symposium on Mathematical Morphology, 2015, Reykjavik, Iceland. pp.182-193, ⟨10.1007/978-3-319-18720-4_16⟩. ⟨hal-01168146⟩

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