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Automatic reassembly of fragments for restoration of heritage site structures
Published in International Association for Automation and Robotics in Construction I.A.A.R.C)
2018
Abstract
A major bottleneck activity in the process of restoration of Heritage Structures is the reassembly of its fragments. Computer-aided reassembly could assist in finding the relation between them thereby reducing time, manpower and potential degradation to fragile fragments. Using geometric compatibility between the adjacent fragments as the central idea, a reassembly framework for a three-dimensional shell is proposed as a logical extension of the two-dimensional framework. Edges are extracted as polygons and relevant features are computed at each of its vertices. Sequences of the match for two fragments in the feature space are found using a modified version of Smith-Waterman Algorithm. Each match is assessed using a connectivity score. The final choice of best match is left to the user by displaying the resultant assembled fragments of prospective candidates along with the score. After pairwise matching, the global reassembly is done through a clustering-based method. This framework can handle fragments even with curved edges which can be reasonably approximated by a set of edges. We verify the methodology using a simulated dataset for both 2D pieces and a shattered 3D surface object. © ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved.
About the journal
JournalISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things
PublisherInternational Association for Automation and Robotics in Construction I.A.A.R.C)
Open AccessNo
Concepts (12)
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    Feature extraction
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    Restoration
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    Robotics
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    AUTOMATIC REASSEMBLY
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    CURVE MATCHING
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    HERITAGE SITES
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    HERITAGE STRUCTURES
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    PAIRWISE MATCHING
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    REASSEMBLY
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    RELEVANT FEATURES
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    SMITH-WATERMAN ALGORITHM
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    Construction