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.

@article{Brown:2008:ASF,
   author = "Benedict J. Brown and Corey Toler-Franklin and Diego Nehab and Michael
      Burns and David Dobkin and Andreas Vlachopoulos and Christos
      Doumas and Szymon Rusinkiewicz and Tim Weyrich",
   title = "A System for High-Volume Acquisition and Matching of Fresco Fragments:
      Reassembling {Theran} Wall Paintings",
   journal = "ACM Transactions on Graphics (Proc. SIGGRAPH)",
   year = "2008",
   month = aug,
   volume = "27",
   number = "3"
}