Semi-automatic digital epigraphy from images with normals

Sema Berkiten, Xinyi Fan, Szymon Rusinkiewicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We present a semi-automated system for converting photometric datasets (RGB images with normals) into geometry-aware non-photorealistic illustrations that obey the common conventions of epigraphy (black-and-white archaeological drawings of inscriptions). We focus on rock inscriptions formed by carving into or pecking out the rock surface: these are characteristically rough with shallow relief, making the problem very challenging for previous line drawing methods. Our system allows the user to easily outline the inscriptions on the rock surface, then segment out the inscriptions and create line drawings and shaded renderings in a variety of styles. We explore both constant-width and tilt-indicating lines, as well as locally shape-revealing shading. Our system produces more understandable illustrations than previous NPR techniques, successfully converting epigraphy from a manual and painstaking process into a user-guided semi-automatic process.

Original languageEnglish (US)
Title of host publicationExpressive 2015
Subtitle of host publicationJoint Symposium of Computational Aesthetics, CAe, Non-Photorealistic Animation and Rendering, NPAR, Sketch-Based Interfaces and Modeling, SBIM
EditorsDieter W. Fellner
PublisherAssociation for Computing Machinery, Inc
Pages91-102
Number of pages12
ISBN (Electronic)9783905674910
DOIs
StatePublished - Jun 20 2015
EventWorkshop on Non-Photorealistic Animation and Rendering, NPAR 2015 - Istanbul, Turkey
Duration: Jun 20 2015Jun 22 2015

Publication series

NameExpressive 2015: Joint Symposium of Computational Aesthetics, CAe, Non-Photorealistic Animation and Rendering, NPAR, Sketch-Based Interfaces and Modeling, SBIM

Other

OtherWorkshop on Non-Photorealistic Animation and Rendering, NPAR 2015
Country/TerritoryTurkey
CityIstanbul
Period6/20/156/22/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics

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