Using virtual reality for anatomical landmark annotation in geometric morphometrics.
3D annotation
Geometric morphometrics
Halichoerus grypus
Measurement error
Stratovan checkpoint
Virtual morphology
Virtual reality
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2022
2022
Historique:
received:
27
10
2021
accepted:
10
01
2022
entrez:
21
2
2022
pubmed:
22
2
2022
medline:
22
2
2022
Statut:
epublish
Résumé
To study the shape of objects using geometric morphometrics, landmarks are oftentimes collected digitally from a 3D scanned model. The expert may annotate landmarks using software that visualizes the 3D model on a flat screen, and interaction is achieved with a mouse and a keyboard. However, landmark annotation of a 3D model on a 2D display is a tedious process and potentially introduces error due to the perception and interaction limitations of the flat interface. In addition, digital landmark placement can be more time-consuming than direct annotation on the physical object using a tactile digitizer arm. Since virtual reality (VR) is designed to more closely resemble the real world, we present a VR prototype for annotating landmarks on 3D models. We study the impact of VR on annotation performance by comparing our VR prototype to Stratovan Checkpoint, a commonly used commercial desktop software. We use an experimental setup, where four operators placed six landmarks on six grey seal (
Identifiants
pubmed: 35186472
doi: 10.7717/peerj.12869
pii: 12869
pmc: PMC8830334
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e12869Informations de copyright
© 2022 Messer et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.
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