Recent advancements in low-cost acquisition technologies have made it more practical to acquire real-world datasets on a large scale. This has lead to a number of computer-based solutions for reassembling, archiving and visualizing cultural heritage artifacts. In this thesis, we combine aspects of these technologies in novel ways and introduce algorithms to improve upon their overall efficiency and robustness. First, we introduce a 2-D acquisition system to address the challenge of acquiring higher resolution color and normal maps for large datasets than those available with 3-D scanning devices. Next, we incorporate our normal maps into a novel multi-cue matching system for reassembling small fragments of artifacts. We then present a non-photorealistic rendering pipeline for illustrating geometrically complex objects using images with multiple channels of information.

@phdthesis{:2011:MAA,
   author = "Corey Toler-Franklin",
   title = "Matching, Archiving and Visualizing Cultural Heritage Artifacts Using
      Multi-Channel Images",
   school = "Princeton University",
   year = "2011",
   month = may
}