Skip to main navigation Skip to search Skip to main content

Deep Learning-Based Crack Detection on Complex Decorative Surfaces of Cultural Heritage Artifacts

  • University of Missouri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2026 - 26th International Conference, Proceedings
EditorsOsvaldo Gervasi, M. Noelia Faginas Lago, Beniamino Murgante, Chiara Garau, Ana Maria A. C. Rocha, David Taniar, Yeliz Karaca
PublisherSpringer Science and Business Media Deutschland GmbH
Pages478-491
Number of pages14
ISBN (Print)9783032304902
DOIs
StatePublished - 2027
Event26th International Conference on Computational Science and Its Applications, ICCSA 2026 - Braga, Portugal
Duration: Jun 30 2026Jul 3 2026

Publication series

NameLecture Notes in Computer Science
Volume16767 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Computational Science and Its Applications, ICCSA 2026
Country/TerritoryPortugal
CityBraga
Period6/30/267/3/26

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Crack Detection
  • Cultural Heritage
  • Deep Learning
  • Digital Preservation
  • Image Processing

Fingerprint

Dive into the research topics of 'Deep Learning-Based Crack Detection on Complex Decorative Surfaces of Cultural Heritage Artifacts'. Together they form a unique fingerprint.

Cite this