Semantic-based automated reassembly of heritage fragments
Artificial intelligence provides archeologists and conservators with solutions to many problems. Among them, artifact reconstruction would surely benefit from smart automation. After the spread of the vision-based reassembly techniques, that use either fractures or pattern continuity, the last decad...
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| Format: | Article |
| Language: | English |
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Association CeROArt
2021-08-01
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| Series: | CeROArt : Conservation, Exposition, Restauration d'Objets d'Art |
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| Online Access: | https://journals.openedition.org/ceroart/8053 |
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| _version_ | 1832578105276891136 |
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| author | Marie-Morgane Paumard |
| author_facet | Marie-Morgane Paumard |
| author_sort | Marie-Morgane Paumard |
| collection | DOAJ |
| description | Artificial intelligence provides archeologists and conservators with solutions to many problems. Among them, artifact reconstruction would surely benefit from smart automation. After the spread of the vision-based reassembly techniques, that use either fractures or pattern continuity, the last decade has seen the rise of semantic-based algorithms that allow performing computer vision tasks using the meaning of what is represented. We expect that such methods would help to solve some of the most difficult heritage problems that cannot be addressed by traditional methods, often because the fragments are too eroded to make continuity-based deductions. |
| format | Article |
| id | doaj-art-627fbb6f8ed543d7b9499d7f1d63fe4d |
| institution | Kabale University |
| issn | 1784-5092 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Association CeROArt |
| record_format | Article |
| series | CeROArt : Conservation, Exposition, Restauration d'Objets d'Art |
| spelling | doaj-art-627fbb6f8ed543d7b9499d7f1d63fe4d2025-01-30T14:14:08ZengAssociation CeROArtCeROArt : Conservation, Exposition, Restauration d'Objets d'Art1784-50922021-08-011210.4000/ceroart.8053Semantic-based automated reassembly of heritage fragmentsMarie-Morgane PaumardArtificial intelligence provides archeologists and conservators with solutions to many problems. Among them, artifact reconstruction would surely benefit from smart automation. After the spread of the vision-based reassembly techniques, that use either fractures or pattern continuity, the last decade has seen the rise of semantic-based algorithms that allow performing computer vision tasks using the meaning of what is represented. We expect that such methods would help to solve some of the most difficult heritage problems that cannot be addressed by traditional methods, often because the fragments are too eroded to make continuity-based deductions.https://journals.openedition.org/ceroart/8053deep learningcomputer visionoptimizationautomatic reassembly |
| spellingShingle | Marie-Morgane Paumard Semantic-based automated reassembly of heritage fragments CeROArt : Conservation, Exposition, Restauration d'Objets d'Art deep learning computer vision optimization automatic reassembly |
| title | Semantic-based automated reassembly of heritage fragments |
| title_full | Semantic-based automated reassembly of heritage fragments |
| title_fullStr | Semantic-based automated reassembly of heritage fragments |
| title_full_unstemmed | Semantic-based automated reassembly of heritage fragments |
| title_short | Semantic-based automated reassembly of heritage fragments |
| title_sort | semantic based automated reassembly of heritage fragments |
| topic | deep learning computer vision optimization automatic reassembly |
| url | https://journals.openedition.org/ceroart/8053 |
| work_keys_str_mv | AT mariemorganepaumard semanticbasedautomatedreassemblyofheritagefragments |