A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Computer Vision and Image Understanding
Reconstruction of Three-Dimensional Objects through Matching of Their Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Virtual Archaeologist: Assembling the Past
IEEE Computer Graphics and Applications
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible Similarity Measure for 3D Shapes Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Appearance Repair for Incomplete Point Surfaces
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Reassembling fractured objects by geometric matching
ACM SIGGRAPH 2006 Papers
Example-based 3D scan completion
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Pairwise Matching of 3D Fragments Using Cluster Trees
International Journal of Computer Vision
Creating 3D virtual sculptures from vision and touch technologies
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
Integral invariants for robust geometry processing
Computer Aided Geometric Design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Editorial: Computers & Graphics journal special section on Cultural Heritage
Computers and Graphics
Generic fitted shapes (GFS): Volumetric object segmentation in service robotics
Robotics and Autonomous Systems
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The automatic reconstruction of archeological pieces through the integration of a set of unknown segments is a highly complex problem which is still being researched. When only a few segments of the original piece are available, solutions exclusively based on computational algorithms are inefficient when attempting to create a credible whole restoration. Incomplete 3D puzzles must consequently be tackled by considering hybrid human/computer strategies. This paper presents a reconstruction approach in which the knowledge of human experts and computational solutions coexist together. Hypotheses, models and integration solutions originating from both humans and computers are thus continuously updated until an agreement is reached. This semi-automatic restoration approach has been tested on a set of ancient fractured pieces belonging to the remains of Roman sculptures at the well known Merida site (Spain), and promising results have been obtained. The successful results and applicability of this method have led us to believe that computational solutions should evolve towards hybrid human-computer strategies.