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primary topic: An optimizational approach for an algorithmic reassembly of fragmented objects

An optimizational approach for an algorithmic reassembly of fragmented objects
type: Article
abstract: In Cambodia close to the Thai border, lies the Angkor-style temple of Banteay Chhmar. Like all nearly forgotten temples in remote places, it crumbles under the ages. By today most of it is only a heap of stones. Manually reconstructing these temples is both complex and challenging: The conservation team is confronted with a pile of stones, the original position of which is generally unkown. This reassembly task resembles a large-scale 3D puzzle. Usually, it is resolved by a team of specialists who analyze each stone, using their experience and knowledge of Khmer culture. Possible solutions are tried and retried and the stones are placed in different locations until the correct one is found. The major drawbacks of this technique are: First, since the stones are moved continuously they are further damaged, second, there is a threat to the safety of the workers due to handling very heavy weights, and third because of the high complexity and labour-intensity of the work it takes several months up to several years to solve even a small part of the puzzle. These risks and conditions motivated the development of a virtual approach to reassemble the stones, as computer algorithms are theoretically capable of enumerating all potential solutions in less time, thereby drastically reducing the amount of work required for handling the stones. Furthermore the virtual approach has the potential to reduce the on-site costs of in-situ analysis. The basis for this virtual puzzle algorithm are high-resolution 3D models of more than one hundred stones. The stones can be viewed as polytopes with approximately cuboidal form although some of them contain additional indentations. Exploiting these and related geometric features and using a priori knowledge of the orientation of each stone speeds up the process of matching the stones. The aim of the current thesis is to solve this complex large-scale virtual 3D puzzle. In order to achieve this, a general workflow is developed which involves …
date: 2015
author list: authors
type: EPrint
type: DoctoralThesisEPrint
is part of: repository
has document: An optimizational approach for an algorithmic reassembly of fragmented objects (PDF)
has document: An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
subject: 004 Informatik
subject: 510 Mathematik

An optimizational approach for an algorithmic reassembly of fragmented objects (PDF)
type: Document
has file: Dissertation_Schaefer.pdf
has part: Dissertation_Schaefer.pdf

Anja Schäfer
type: Person
given name: Anja
family name: Schäfer

An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
type: Document
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An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
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An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
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An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
type: Document
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An optimizational approach for an algorithmic reassembly of fragmented objects (Other)
type: Document
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HTML Summary of #18008 An optimizational approach for an algorithmic reassembly of fragmented objects
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primary topic: An optimizational approach for an algorithmic reassembly of fragmented objects

004 Informatik
type: Concept
preferred label: 004 Data processing Computer science @en

510 Mathematik
type: Concept
preferred label: 510 Mathematics @en