TY - JOUR
T1 - A system for high-volume acquisition and matching of fresco fragments
T2 - Reassembling Theran wall paintings
AU - Brown, Benedict J.
AU - Toler-Franklin, Corey
AU - Nehab, Diego
AU - Burns, Michael
AU - Dobkin, David
AU - Vlachopoulos, A.
AU - Doumas, C.
AU - Rusinkiewicz, Szymon
AU - Weyrich, Tim
PY - 2008/8/1
Y1 - 2008/8/1
N2 - 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.
AB - 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.
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U2 - 10.1145/1360612.1360683
DO - 10.1145/1360612.1360683
M3 - Article
AN - SCOPUS:49249093929
SN - 0730-0301
VL - 27
JO - ACM Transactions on Graphics
JF - ACM Transactions on Graphics
IS - 3
M1 - 84
ER -