Body measurement of riding horses with a versatile tablet-type 3D scanning device.

3D images conformation horse light detection and ranging (LiDAR) non-contact

Journal

Journal of equine science
ISSN: 1340-3516
Titre abrégé: J Equine Sci
Pays: Japan
ID NLM: 9503751

Informations de publication

Date de publication:
2021
Historique:
received: 30 10 2020
accepted: 07 06 2021
entrez: 20 9 2021
pubmed: 21 9 2021
medline: 21 9 2021
Statut: ppublish

Résumé

The measurement of various body dimensions of horses plays a significant role in quality improvement, genetic breeding, health, and soundness. There has been significant advancement in the technology for acquiring stereoscopic images with a three-dimensional (3D) scanner. This study aimed to validate the accuracy of body measurements obtained from stereoscopic images taken with a 3D scanner. We manually took the following body measurements for 8 riding horses: height at the withers, height at the back, height at the croup, chest depth, width of the chest, width of the croup, width of the waist, girth circumference, cannon circumference, and body length. Using a versatile tablet-type 3D scanning device, we captured a 3D image of each horse. Relative errors varied from -1.37% to 6.25%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for width of the waist and cannon circumference. The low accuracy of cannon circumference (r=0.248) was due to effect of hair. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R

Identifiants

pubmed: 34539208
doi: 10.1294/jes.32.73
pii: 2033
pmc: PMC8437753
doi:

Types de publication

Journal Article

Langues

eng

Pagination

73-80

Informations de copyright

©2021 The Japanese Society of Equine Science.

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Auteurs

Akihiro Matsuura (A)

Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan.

Maiko Dan (M)

Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan.

Aiko Hirano (A)

Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan.

Yoshio Kiku (Y)

National Institute of Animal Health (NIAH), National Agriculture and Food Research Organization (NARO), Hokkaido 062-0045, Japan.
Present address: Department of Sustainable Agriculture, College of Agriculture, Food and Environment Sciences, Rakuno Gakuen University, Hokkaido 069-8501, Japan.

Suzuka Torii (S)

Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan.

Shigeru Morita (S)

Department of Sustainable Agriculture, College of Agriculture, Food and Environment Sciences, Rakuno Gakuen University, Hokkaido 069-8501, Japan.

Classifications MeSH