| dc.contributor.author | Mandal, Dipendra Jee | |
| dc.contributor.author | Deborah, Hilda | |
| dc.contributor.author | George, Sony | |
| dc.contributor.author | Hardeberg, Jon Yngve | |
| dc.date.accessioned | 2024-03-14T12:14:42Z | |
| dc.date.available | 2024-03-14T12:14:42Z | |
| dc.date.created | 2024-01-16T09:49:17Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) | en_US |
| dc.identifier.issn | 2158-6276 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3122423 | |
| dc.description.abstract | The study of pigments in historical works of art is of significant value for conservators and art historians, providing insight into artistic techniques and the preservation of cultural heritage. Hyperspectral imaging aids in the identification and classification of pigments, facilitating conservation efforts. However, the challenge lies in identifying these pigments in artworks where ground-truth data are unavailable, necessitating unsupervised clustering techniques. In this paper, the performance of dimensionality reduction and cluster estimator techniques are evaluated, further proposing a workflow for unsupervised clustering for paintings without known pigments. A case study is conducted on Edvard Munch's Self-Portrait (1905), providing valuable insights into a relatively unexplored artwork within the cultural heritage domain. | en_US |
| dc.description.abstract | Unsupervised clustering for works of art using hyperspectral imaging: A case study on Edvard Munch's Self-Portrait (1905) | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | Unsupervised clustering for works of art using hyperspectral imaging: A case study on Edvard Munch's Self-Portrait (1905) | en_US |
| dc.title.alternative | Unsupervised clustering for works of art using hyperspectral imaging: A case study on Edvard Munch's Self-Portrait (1905) | en_US |
| dc.type | Journal article | en_US |
| dc.type | Peer reviewed | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.source.journal | Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing | en_US |
| dc.identifier.doi | 10.1109/WHISPERS61460.2023.10430604 | |
| dc.identifier.cristin | 2227429 | |
| cristin.ispublished | false | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
