A system for high-volume acquisition and matching of fresco fragments: Reassembling Theran wall paintings

Benedict J. Brown, Corey Toler-Franklin, Diego Nehab, Michael Burns, David Paul Dobkin, A. Vlachopoulos, C. Doumas, Szymon M. Rusinkiewicz, Tim Weyrich

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

Although mature technologies exist for acquiring images, geometry, and normals of small objects, they remain cumbersome and time-consuming for non-experts to employ on a large scale. In an archaeological setting, a practical acquisition system for routine use on every artifact and fragment would open new possibilities for archiving, analysis, and dissemination. We present an inexpensive system for acquiring all three types of information, and associated metadata, for small objects such as fragments of wall paintings. The acquisition system requires minimal supervision, so that a single, non-expert user can scan at least 10 fragments per hour. To achieve this performance, we introduce new algorithms to robustly and automatically align range scans, register 2-D scans to 3-D geometry, and compute normals from 2-D scans. As an illustrative application, we present a novel 3-D matching algorithm that efficiently searches for matching fragments using the scanned geometry.

Original languageEnglish (US)
Article number84
JournalACM Transactions on Graphics
Volume27
Issue number3
DOIs
StatePublished - Aug 1 2008

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

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