Global Consistency in the Automatic Assembly of Fragmented Artefacts

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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Automatic reconstruction of fragmented objects is of great interest in archaeology, where artefacts are often found in a fractured state. In this paper, we focus on the problem of automatically agglomerating clusters of fragments from previously determined pairwise matches. Common to any automated cluster agglomeration technique is the challenge of error accumulation, making it increasingly difficult to discern false from true matches as the assembly grows. Many assembly algorithms therefore introduce a global relaxation phase to distribute alignment errors evenly across the cluster, minimising major inconsistencies. Nevertheless, error accumulation limits the problem size automated assembly systems can handle in practice. In this paper we show how two careful modifications of the traditional relaxation scheme help lift this limit considerably. In contrast to previous work, we integrate global relaxation earlier, in the search phase of the assembly process. In addition, we do not fix connections between assembled fragments, but rather leave them flexible throughout the assembly. By modifying two representative assembly algorithms, we demonstrate the effectiveness of our approach. Using the example of a challenging fresco dataset, we show that these modifications achieve larger reconstruction sizes than traditional strategies.
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@inproceedings{
10.2312:VAST/VAST11/073-080
, booktitle = {
VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage
}, editor = {
Franco Niccolucci and Matteo Dellepiane and Sebastian Pena Serna and Holly Rushmeier and Luc Van Gool
}, title = {{
Global Consistency in the Automatic Assembly of Fragmented Artefacts
}}, author = {
Castañeda, Antonio García
and
Brown, Benedict
and
Rusinkiewicz, Szymon
and
Funkhouser, Thomas
and
Weyrich, Tim
}, year = {
2011
}, publisher = {
The Eurographics Association
}, ISSN = {
1811-864X
}, ISBN = {
978-3-905674-34-7
}, DOI = {
10.2312/VAST/VAST11/073-080
} }
Citation