Princeton > CS Dept > PIXL > Graphics > Publications Local Access 

Semi-Automatic Digital Epigraphy from Images with Normals
NPAR 2015, International Symposium on Non-Photorealistic Animation and Rendering, June 2015

Sema Berkiten, Xinyi Fan, Szymon Rusinkiewicz


(a) Albedo and (b) Normal maps are estimated with a photometric stereo algorithm. (c) Digital epigraphy done manually on Adobe Photoshop and Illustrator in high precision by archaeologists which took 7-8 hours in total. (d) Result from our user-guided system which took 6-7 minutes.

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.

Citation (BibTeX)

Sema Berkiten, Xinyi Fan, and Szymon Rusinkiewicz. Semi-Automatic Digital Epigraphy from Images with Normals. NPAR 2015, International Symposium on Non-Photorealistic Animation and Rendering, June 2015.

Paper
  Pdf (22.1 MB)
  Pdf low resolution (5.8 MB)