Solving jigsaw puzzles by computer
Annals of Operations Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A global approach to automatic solution of jigsaw puzzles
Proceedings of the eighteenth annual symposium on Computational geometry
Virtual Archaeologist: Assembling the Past
IEEE Computer Graphics and Applications
ArcheoTUI—Driving virtual reassemblies with tangible 3D interaction
Journal on Computing and Cultural Heritage (JOCCH)
ArcheoTUI - a tangible user interface for the virtual reassembly of fractured archeological objects
VAST'07 Proceedings of the 8th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
A re-assembling scheme of fragmented Mokkan images
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Automatic Solution of Jigsaw Puzzles
Journal of Mathematical Imaging and Vision
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Reconstruction of archaeological finds from fragments, is a tedious task requiring many hours of work from the archaeologists and restoration personnel. In this paper we present a framework for the full reconstruction of the original objects using texture and surface design information on the sherd. The texture of a band outside the border of pieces is predicted by inpainting and texture synthesis methods. The confidence of this process is also defined. Feature values are derived from these original and predicted images of pieces. A combination of the feature and confidence values is used to generate an affinity measure of corresponding pieces. The optimization of total affinity gives the best assembly of the piece. Experimental results are presented on real and artificial data.