Workshop at the European Conference on Computer Vision

ECCV 2014: Computer Vision - ECCV 2014 Workshops pp 133-148 | Cite as

Graph-Based Shape Similarity of Petroglyphs

  • Markus Seidl
  • Ewald Wieser
  • Matthias Zeppelzauer
  • Axel Pinz
  • Christian Breiteneder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8925)

Abstract

Petroglyphs can be found on rock panels all over the world. The possibilities of digital photography and more recently various 3D scanning methods opened a new stage for the documentation and analysis of petroglyphs. The existing work on petroglyph shape similarity has largely avoided the questions of articulation, merged petroglyphs and potentially missing parts of petroglyphs. We aim at contributing to close this gap by applying a novel petroglyph shape descriptor based on the skeletal graph. Our contribution is twofold: First, we provide a real-world dataset of petroglyph shapes. Second, we propose a graph-based shape descriptor for petroglyphs. Comprehensive evaluations show, that the combination of the proposed descriptor with existing ones improves the performance in petroglyph shape similarity modeling.

Keywords

Petroglyph similarity Shape similarity Graph matching Graph edit distance Graph embedding 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Markus Seidl
    • 1
  • Ewald Wieser
    • 1
  • Matthias Zeppelzauer
    • 1
  • Axel Pinz
    • 2
  • Christian Breiteneder
    • 3
  1. 1.St. Pölten University of Applied SciencesSt PöltenAustria
  2. 2.Graz University of TechnologyGrazAustria
  3. 3.Vienna University of TechnologyViennaAustria

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