3D Surface Measurement and Analysis of Works of Art

Bingjie Jenny Xu, Florian Willomitzer, Chia Kai Yeh, Fengqiang Li, Vikas Gupta, Jack Tumblin, Marc Walton, Oliver Cossairt

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

4 Scopus citations

Abstract

Surface shape metrology encompasses broad topics within cultural heritage science. However, most existing surface shape measurement systems are bulky and restricted to lab environments. As most are not practical for large, delicate or fixed works of art, such as stained-glass windows or oil-painted murals, we develop methods to measure matte and specular surfaces using hand-held mobile devices. In the 'Shape-from-Shifting' method, we use a hand-held cell-phone to capture surface normal maps computed with a near-light variant of photometric stereo from a shifting sequence of flash-lit photos. In the 'Multiview Deflectometry' method, 3D information of specular surfaces is calculated by observing the reflection of a tablet screen on the surface with the tablet's front facing camera. Both methods are fast, portable and easy to use for non-experts. We present case studies for each method: detecting protrusions growing in Georgia O'Keeffe paintings and identifying surface features of Tiffany stained glass.

Original languageEnglish (US)
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1779-1782
Number of pages4
ISBN (Electronic)9781728143002
DOIs
StatePublished - Nov 2019
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: Nov 3 2019Nov 6 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/TerritoryUnited States
CityPacific Grove
Period11/3/1911/6/19

Funding

This project was supported by the National Science Foundation (NSF), National Endowment for the Humanities (NEH) and the Andrew W. Mellon Foundation to the Center for Scientific Studies in the Arts.

Keywords

  • 3D Surface Shape Reconstruction
  • Cultural Heritage
  • Deflectometry
  • Feature Identification
  • Mobile Devices
  • Painting
  • Photometric Stereo
  • Protrusion Detection
  • Stained Glass

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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