From Reassembly to Object Completion

Author:

Papaioannou Georgios1,Schreck Tobias2,Andreadis Anthousis1,Mavridis Pavlos2,Gregor Robert2,Sipiran Ivan3,Vardis Konstantinos1

Affiliation:

1. Athens University of Economics and Business, Athens, Greece

2. Graz University of Technology, Graz, Austria

3. Pontificia Universidad Católica del Perú, San Miguel, Lima

Abstract

The problem of the restoration of broken artifacts, where large parts could be missing, is of high importance in archaeology. The typical manual restoration can become a tedious and error-prone process, which also does not scale well. In recent years, many methods have been proposed for assisting the process, most of which target specialized object types or operate under very strict constraints. We propose a digital shape restoration pipeline consisting of proven, robust methods for automatic fragment reassembly and shape completion of generic three-dimensional objects of arbitrary type. In this pipeline, first we introduce a novel unified approach for handling the reassembly of objects from heavily damaged fragments by exploiting both fracture surfaces and salient features on the intact sides of fragments, when available. Second, we propose an object completion procedure based on generalized symmetries and a complementary part extraction process that is suitable for driving the fabrication of missing geometry. We demonstrate the effectiveness of our approach using real-world fractured objects and software implemented as part of the European Union--funded PRESIOUS project, which is also available for download from the project site.

Funder

Seventh Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Information Systems,Conservation

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1. MatchMakerNet: Enabling Fragment Matching for Cultural Heritage Analysis;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

3. Fighting Illicit Trafficking of Cultural Goods—The ENIGMA Project;Remote Sensing;2023-05-15

4. A New Virtual Reconstruction of the Ndutu Cranium;Heritage;2023-03-09

5. Reinforcement-Learning Based Robotic Assembly of Fractured Objects Using Visual and Tactile Information;2023 9th International Conference on Automation, Robotics and Applications (ICARA);2023-02-10

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