Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hanan ElNaghy"'
Autor:
Hanan ElNaghy, Leo Dorst
Publikováno v:
International Journal of Computer Vision. 130:2184-2204
We design a computational method to align pairs of counter-fitting fracture surfaces of digitized archaeological artefacts. The challenge is to achieve an accurate fit, even though the data is inherently lacking material through abrasion, missing geo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf433cb59582be70921cba38849f892
https://doi.org/10.1007/s11263-022-01635-3
https://doi.org/10.1007/s11263-022-01635-3
Autor:
Leo Dorst, Hanan ElNaghy
Publikováno v:
Mathematical Morphology-Theory and Applications (MMTA), 4, 46-63. De Gruyter
Mathematical Morphology, Vol 4, Iss 1, Pp 46-63 (2020)
Mathematical Morphology, Vol 4, Iss 1, Pp 46-63 (2020)
When fitting archaeological artifacts, one would like to have a representation that simplifies fragments while preserving their complementarity. In this paper, we propose to employ the scale-spaces of mathematical morphology to hierarchically simplif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::293a9974d4c898acce8160ef7a7ea2dc
https://dare.uva.nl/personal/pure/en/publications/boundary-morphology-for-hierarchical-simplification-of-archaeological-fragments(8535904f-24c2-4ca8-a214-0534f8a1fb02).html
https://dare.uva.nl/personal/pure/en/publications/boundary-morphology-for-hierarchical-simplification-of-archaeological-fragments(8535904f-24c2-4ca8-a214-0534f8a1fb02).html
Autor:
Leo Dorst, Hanan ElNaghy
Publikováno v:
ICCV Workshops
2017 IEEE International Conference on Computer Vision Workshops : ICCVW 2017: 22-29 October 2017, Venice, Italy : proceedings, 2934-2942
STARTPAGE=2934;ENDPAGE=2942;TITLE=2017 IEEE International Conference on Computer Vision Workshops : ICCVW 2017
2017 IEEE International Conference on Computer Vision Workshops : ICCVW 2017: 22-29 October 2017, Venice, Italy : proceedings, 2934-2942
STARTPAGE=2934;ENDPAGE=2942;TITLE=2017 IEEE International Conference on Computer Vision Workshops : ICCVW 2017
We present a robust pipeline for segmenting digital cultural heritage fragments into distinct facets, with few tunable yet archaeologically meaningful parameters. Given a terracotta broken artifact, digitally scanned in the form of irregularly sample
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::240bc4257fd5e23dd88d82e14c51c4ff
https://doi.org/10.1109/iccvw.2017.346
https://doi.org/10.1109/iccvw.2017.346