3364385
doi
10.5281/zenodo.3364385
oai:zenodo.org:3364385
user-icedig
user-eu
van der Mije Steven
Wijers Agnes
Picturae
Willemse Luc
Naturalis
State of the art and perspectives on mass imaging of skins and other vertebrate material
van Walsum Myriam
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>The topic of this report is applications of conventional photography and automated<br>
imaging for three-dimensional dry collections. No automated imaging solutions were found<br>
for these types of specimens which is due to variability of material and complexity of<br>
handling these specimens. Due to the variability of object types, shapes and research<br>
interest, mass imaging for scientific purposes is not realistic. Imaging labels for data entry<br>
and databasing purposes should be achievable. We recommend a process based approach<br>
of record creation with minimal data, combined with label imaging. This can be done very<br>
rapidly with minimally trained workers. The label images can then be used subsequently,<br>
during a separate phase, for data entry. Especially when data entry is partial or includes<br>
interpretation, the images provide potential for future use. It also has to be considered if<br>
including the specimen in the image adds enough value to justify the extra effort. We also<br>
provide decision trees to help design a demand based approach.</p>
Zenodo
2019-05-31
info:eu-repo/semantics/report
3364384
user-icedig
user-eu
award_title=Innovation and consolidation for large scale digitisation of natural heritage; award_number=777483; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/777483; funder_id=00k4n6c32; funder_name=European Commission;
1579538648.886102
1591124
md5:d814d8d334da9ee072b5242fa3d5b70b
https://zenodo.org/records/3364385/files/D3.3 State of the art and perspectives on mass imaging of skins and other vertebrate material_v0.1.pdf
public
10.5281/zenodo.3364384
isVersionOf
doi