  3D reconstruction techniques have widely been used for digital documentation
of archaeological fragments. However, efficient digital capture of fragments
remains as a challenge. In this work, we aim to develop a portable,
high-throughput, and accurate reconstruction system for efficient digitization
of fragments excavated in archaeological sites. To realize high-throughput
digitization of large numbers of objects, an effective strategy is to perform
scanning and reconstruction in batches. However, effective batch-based scanning
and reconstruction face two key challenges: 1) how to correlate partial scans
of the same object from multiple batch scans, and 2) how to register and
reconstruct complete models from partial scans that exhibit only small
overlaps. To tackle these two challenges, we develop a new batch-based matching
algorithm that pairs the front and back sides of the fragments, and a new
Bilateral Boundary ICP algorithm that can register partial scans sharing very
narrow overlapping regions. Extensive validation in labs and testing in
excavation sites demonstrate that these designs enable efficient batch-based
scanning for fragments. We show that such a batch-based scanning and
reconstruction pipeline can have immediate applications on digitizing sherds in
archaeological excavations. Our project page:
https://jiepengwang.github.io/FIRES/.
