Journal article
Mending broken vessels a fusion between color markings and anchor points on surface breaks
Multimedia tools and applications, v 75(7), pp 3709-3732
01 Apr 2016
Abstract
This paper presents a method to assist in the tedious process of reconstructing ceramic vessels from excavated fragments. The method exploits vessel surface marking information coupled with a series of generic models constructed by the archaeologists to produce a virtual reconstruction of what the original vessel may have looked like. Generic models are generated based on the experts' historical knowledge of the period, provenance of the artifact, and site location. The generic models need not to be identical to the original vessel, but must be within a geometric transformation of it in most parts. By aligning the fragments against the generic models, the ceramic vessels are virtually reconstructed. The alignment is based on a novel set of weighted discrete moments computed from convex hulls of the markings on the surface of the fragments and the generic vessels. When the fragments have no markings on them, they are virtually mended to abutting fragments using intrinsic differential anchor points computed on the surface breaks and aligned using a set of absolute invariants. For axially symmetric objects, a global constraint induced by the surface of revolution is added to guarantee global mending consistency.
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Details
- Title
- Mending broken vessels a fusion between color markings and anchor points on surface breaks
- Creators
- Fernand Cohen - Drexel UniversityZhongchuan Zhang - Drexel UniversityZexi Liu - Drexel University
- Publication Details
- Multimedia tools and applications, v 75(7), pp 3709-3732
- Publisher
- Springer Nature
- Number of pages
- 24
- Grant note
- 0803670 / National Science Foundation IIS division; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000373172200008
- Scopus ID
- 2-s2.0-85020483436
- Other Identifier
- 991019168324004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic