An automated approach for difference detection in cultural heritage applications.
Saved in:
| Title: | An automated approach for difference detection in cultural heritage applications. |
|---|---|
| Authors: | Saiti, Evdokia1 (AUTHOR) evdokia.saiti@ntnu.no, Saha, Sunita2,3 (AUTHOR), Bunsch, Eryk4 (AUTHOR), Sitnik, Robert2 (AUTHOR), Theoharis, Theoharis1 (AUTHOR) |
| Source: | Multimedia Tools & Applications. Sep2025, Vol. 84 Issue 32, p39307-39327. 21p. |
| Subjects: | Cultural property, Geometric analysis, Change-point problems, Museum techniques, Ceramic sculpture, Three-dimensional modeling |
| Geographic Terms: | Poland |
| Abstract: | This paper presents the application of two key stages in Cultural Heritage (CH) analysis: cross-time registration and change detection, aimed at automatically identifying subtle geometric variations in CH objects. The proposed method addresses the challenge of manually aligning and detecting differences among large collections of 3D-digitized objects, which is both time-consuming and error-prone. The method combines CrossTimeReg deep learning technique for automatic registration and the Change-Based-Segmentation method for identifying differences and segmented changes. We applied this method to two ceramic sculptures, titled Zephyr and Flora, from the Museum of King Jan III's Palace at Wilanów, Poland, and validated the results with the CH scientific experts of the museum. The results demonstrated that our method effectively detected geometric variations resulting from potential alterations or restorations, which are crucial for verifying the authenticity of artifacts. Additionally, the method facilitated comparative analysis, enabling researchers to examine similar objects and establish connections, origins, and historical significance. The technique also proved useful in analyzing changes in the geometry of the same object over time due to destructive factors. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 188314052 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An automated approach for difference detection in cultural heritage applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Saiti%2C+Evdokia%22">Saiti, Evdokia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> evdokia.saiti@ntnu.no</i><br /><searchLink fieldCode="AR" term="%22Saha%2C+Sunita%22">Saha, Sunita</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bunsch%2C+Eryk%22">Bunsch, Eryk</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sitnik%2C+Robert%22">Sitnik, Robert</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Theoharis%2C+Theoharis%22">Theoharis, Theoharis</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Sep2025, Vol. 84 Issue 32, p39307-39327. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cultural+property%22">Cultural property</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+analysis%22">Geometric analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Change-point+problems%22">Change-point problems</searchLink><br /><searchLink fieldCode="DE" term="%22Museum+techniques%22">Museum techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Ceramic+sculpture%22">Ceramic sculpture</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+modeling%22">Three-dimensional modeling</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Poland%22">Poland</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the application of two key stages in Cultural Heritage (CH) analysis: cross-time registration and change detection, aimed at automatically identifying subtle geometric variations in CH objects. The proposed method addresses the challenge of manually aligning and detecting differences among large collections of 3D-digitized objects, which is both time-consuming and error-prone. The method combines CrossTimeReg deep learning technique for automatic registration and the Change-Based-Segmentation method for identifying differences and segmented changes. We applied this method to two ceramic sculptures, titled Zephyr and Flora, from the Museum of King Jan III's Palace at Wilanów, Poland, and validated the results with the CH scientific experts of the museum. The results demonstrated that our method effectively detected geometric variations resulting from potential alterations or restorations, which are crucial for verifying the authenticity of artifacts. Additionally, the method facilitated comparative analysis, enabling researchers to examine similar objects and establish connections, origins, and historical significance. The technique also proved useful in analyzing changes in the geometry of the same object over time due to destructive factors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188314052 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-025-20690-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 39307 Subjects: – SubjectFull: Cultural property Type: general – SubjectFull: Geometric analysis Type: general – SubjectFull: Change-point problems Type: general – SubjectFull: Museum techniques Type: general – SubjectFull: Ceramic sculpture Type: general – SubjectFull: Three-dimensional modeling Type: general – SubjectFull: Poland Type: general Titles: – TitleFull: An automated approach for difference detection in cultural heritage applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saiti, Evdokia – PersonEntity: Name: NameFull: Saha, Sunita – PersonEntity: Name: NameFull: Bunsch, Eryk – PersonEntity: Name: NameFull: Sitnik, Robert – PersonEntity: Name: NameFull: Theoharis, Theoharis IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 32 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
| ResultId | 1 |
