3D imaging and body measurement of riding horses using four scanners simultaneously

Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary....

Full description

Saved in:
Bibliographic Details
Published inJournal of Equine Science Vol. 35; no. 1; pp. 1 - 7
Main Authors MATSUURA, Akihiro, TORII, Suzuka, OJIMA, Yuki, KIKU, Yoshio
Format Journal Article
LanguageEnglish
Published Japan Japanese Society of Equine Science 2024
Japan Science and Technology Agency
The Japanese Society of Equine Science
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from −1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R2=0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.
AbstractList Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from -1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R2=0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from -1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R2=0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.
Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from -1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R =0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.
Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from −1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R 2 =0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.
Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported methods with a single scanner still face a significant challenge: the time necessary for scanning is too long for the horses to remain stationary. This study attempted to scan the horse simultaneously from four directions using four scanners in order to complete the scans in a short amount of time and then combine the images from the four scans on a computer into one whole image of each horse. This study also compared body measurements from the combined 3D images with those taken from conventional manual measurements. Nine riding horses were used to construct stereoscopic composite images, and the following 10 measurements were taken: height at the withers, back, and croup; chest depth; width of the chest (WCh), croup, and waist; girth circumference, cannon circumference (CaC), and body length. The same 10 measurements were taken by conventional manual methods. Relative errors ranged from −1.89% to 7.05%. The correlation coefficient between manual and 3D measurements was significant for all body measurements (P<0.01) except for WCh and CaC. A simple regression analysis of all body measurements revealed a strong correlation (P<0.001, R2=0.9994, root-mean-square error=1.612). Simultaneous scanning with four devices from four directions reduced the scanning time from 60 sec with one device to 15 sec. This made it possible to perform non-contact body measurements even on incompletely trained horses who could not remain stationary for long periods of time.
ArticleNumber JES2311
Author TORII, Suzuka
OJIMA, Yuki
KIKU, Yoshio
MATSUURA, Akihiro
Author_xml – sequence: 1
  fullname: MATSUURA, Akihiro
  organization: Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan
– sequence: 2
  fullname: TORII, Suzuka
  organization: Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan
– sequence: 3
  fullname: OJIMA, Yuki
  organization: Department of Animal Science, School of Veterinary Medicine, Kitasato University, Aomori 034-8628, Japan
– sequence: 4
  fullname: KIKU, Yoshio
  organization: Department of Sustainable Agriculture, College of Agriculture, Food and Environment Sciences, Rakuno Gakuen University, Hokkaido 069-8501, Japan
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38524754$$D View this record in MEDLINE/PubMed
BookMark eNpdkVtr3DAQhUVJaW6F_oIi6EtfvJEsjbV6KiFN0oZAH5I-C1ka73qxpVSyA_vva3dT9_KiC-fjzJmZU3IUYkBC3nG24qWWFzvMKwEr_oqccCFVoYDxo19vVgjg1TE5zXnHWAnA9RtyLNZQSgXyhDyIz7Tt7aYNG2qDp3X0e9qjzWPCHsNAY0NT62d5G1PGTMc8f5o4JpqdDQFTprntx26wAeOYu_05ed3YLuPbl_uMfL-5frz6Utx_u_16dXlfOLkGXtRYWVehqsA1zmNZN2XNGsvQWdFo3lRSSSWgZt5Kqb0CD5qBUFZorrzz4ox8Ovg-jXWP3k1xk-3MU5oaSnsTbWv-VUK7NZv4bDjTAGWlJ4ePLw4p_hgxD6Zvs8OuO7RiSr0GpaVQ1YR--A_dTSMIU39GsDXjjAuYqfd_R1qy_B74n4ouxZwTNgvCmZl3aaZdGgGGT-jlAd3lwW5wAW0aWtfhAs7H3fVDKThfNLe1yWAQPwH8D6nT
Cites_doi 10.1136/vr.125.22.549
10.3390/s19225046
10.1016/S0140-6736(86)90837-8
10.1016/j.compag.2019.01.019
10.1016/j.jevs.2015.02.005
10.3390/s18093014
10.1016/j.jevs.2011.05.002
10.1016/j.compag.2022.106987
10.3168/jds.2014-8969
10.1294/jes.32.73
10.1590/0103-8478cr20160590
10.1016/j.jevs.2013.01.002
10.1111/j.2042-3306.1988.tb01451.x
10.1016/j.jevs.2019.04.008
10.2527/jas.2013-6689
10.1016/j.compag.2020.105510
ContentType Journal Article
Copyright 2024 by the Japanese Society of Equine Science
2024 The Japanese Society of Equine Science.
2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2024 The Japanese Society of Equine Science 2024
Copyright_xml – notice: 2024 by the Japanese Society of Equine Science
– notice: 2024 The Japanese Society of Equine Science.
– notice: 2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2024 The Japanese Society of Equine Science 2024
DBID AAYXX
CITATION
NPM
7QL
7U9
8FD
C1K
FR3
H94
P64
RC3
7X8
5PM
DOI 10.1294/jes.35.1
DatabaseName CrossRef
PubMed
Bacteriology Abstracts (Microbiology B)
Virology and AIDS Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
AIDS and Cancer Research Abstracts
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
PubMed
Genetics Abstracts
Virology and AIDS Abstracts
Technology Research Database
Bacteriology Abstracts (Microbiology B)
AIDS and Cancer Research Abstracts
Engineering Research Database
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
PubMed

Genetics Abstracts

Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Recreation & Sports
EISSN 1347-7501
EndPage 7
ExternalDocumentID PMC10955269
38524754
10_1294_jes_35_1
article_jes_35_1_35_JES2311_article_char_en
Genre Journal Article
GroupedDBID 29K
2WC
5GY
ACGOD
ACPRK
ADBBV
ADRAZ
AFRAH
AI.
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
CS3
D-I
DIK
DU5
E3Z
EBS
EJD
HYE
JSF
JSH
KQ8
M48
OK1
PQQKQ
RJT
RNS
RPM
RZJ
TKC
TR2
VH1
XSB
AAYXX
CITATION
OVT
PGMZT
NPM
7QL
7U9
8FD
C1K
FR3
H94
P64
RC3
7X8
5PM
ID FETCH-LOGICAL-c4851-be6ac6e765cfcde2bf2b0fa0eca3f91f6474735b0da449d75d590537a3917dcd3
IEDL.DBID M48
ISSN 1340-3516
IngestDate Thu Aug 21 18:35:42 EDT 2025
Fri Jul 11 12:30:08 EDT 2025
Mon Jun 30 10:18:42 EDT 2025
Mon Jul 21 05:56:52 EDT 2025
Tue Jul 01 02:21:15 EDT 2025
Fri Apr 12 19:05:33 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 1
Keywords horse
composite stereoscopic image
conformation
three-dimensional scan
body measurement
Language English
License 2024 The Japanese Society of Equine Science.
This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c4851-be6ac6e765cfcde2bf2b0fa0eca3f91f6474735b0da449d75d590537a3917dcd3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1294/jes.35.1
PMID 38524754
PQID 3080101356
PQPubID 1976382
PageCount 7
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_10955269
proquest_miscellaneous_2985794376
proquest_journals_3080101356
pubmed_primary_38524754
crossref_primary_10_1294_jes_35_1
jstage_primary_article_jes_35_1_35_JES2311_article_char_en
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-00-00
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 2024-00-00
PublicationDecade 2020
PublicationPlace Japan
PublicationPlace_xml – name: Japan
– name: Utsunomiya-shi
PublicationTitle Journal of Equine Science
PublicationTitleAlternate Journal of Equine Science
PublicationYear 2024
Publisher Japanese Society of Equine Science
Japan Science and Technology Agency
The Japanese Society of Equine Science
Publisher_xml – name: Japanese Society of Equine Science
– name: Japan Science and Technology Agency
– name: The Japanese Society of Equine Science
References 6. Hoffmann, G., Bentke, A., Rose-Meierhöfer, S., Ammon, C., Mazetti, P., and Hardarson, G.H. 2013. Estimation of the body weight of Icelandic horses. J. Equine Vet. Sci. 33: 893–895.
10. Li, J., Ma, W., Li, Q., Zhao, C., Tulpan, D., Yang, S., Ding, L., Gao, R., Yu, L., and Wang, Z. 2022. Multi-view real-time acquisition and 3D reconstruction of point clouds for beef cattle. Comput Electron Agric 197: 106987.
15. Pérez-Ruiz, M., Tarrat-Martín, D., Sánchez-Guerrero, M.J., and Valera, M. 2020. Advances in horse morphometric measurements using LiDAR. Comput. Electron. Agric. 174: 105510.
8. Huang, L., Guo, H., Rao, Q., Hou, Z., Li, S., Qiu, S., Fan, X., and Wang, H. 2019. Body dimension measurements of Qinchuan cattle with transfer learning from LiDAR sensing. Sensors (Basel) 19: 5046.
2. Carroll, C.L., and Huntington, P.J. 1988. Body condition scoring and weight estimation of horses. Equine Vet. J. 20: 41–45.
11. Martinson, K.L., Coleman, R.C., Rendahl, A.K., Fang, Z., and McCue, M.E. 2014. Estimation of body weight and development of a body weight score for adult equids using morphometric measurements. J. Anim. Sci. 92: 2230–2238.
17. Wagner, E.L., and Tyler, P.J. 2011. A comparison of weight estimation methods in adult horses. J. Equine Vet. Sci. 31: 706–710.
3. Catalano, D.N., Coleman, R.J., Hathaway, M.R., Neu, A.E., Wagner, E.L., Tyler, P.J., McCue, M.E., and Martinson, K.L. 2019. Estimation of actual and ideal bodyweight using morphometric measurements of miniature, saddle-type, and Thoroughbred horses. J. Equine Vet. Sci. 78: 117–122.
7. Huang, L., Li, S., Zhu, A., Fan, X., Zhang, C., and Wang, H. 2018. Non-contact body measurement for Qinchuan cattle with LiDAR sensor. Sensors (Basel) 18: 3014.
16. Vieira, P.S., Nogueira, C.E.W., Santos, A.C., Borba, L.D.A., Scalco, R., Brasil, C.L., Barros, W.S., and Curcio, B.D.R. 2017. Development of a weight-estimation model to use in pregnant criollo-type mares. Cienc. Rural 48: e20160590.
1. Bland, J.M., and Altman, D.G. 1986. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327: 307–310.
4. Le Cozler, Y., Allain, C., Caillot, A., Delouard, J.M., Delattre, L., Luginbuhl, T., and Faverdin, P. 2019. High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits. Comput. Electron. Agric. 157: 447–453.
9. Jones, R.S., Lawrence, T.L.J., Veevers, A., Cleave, N., and Hall, J. 1989. Accuracy of prediction of the liveweight of horses from body measurements. Vet. Rec. 125: 549–553.
12. Matsuura, A., Dan, M., Hirano, A., Kiku, Y., Torii, S., and Morita, S. 2021. Body measurement of riding horses with a versatile tablet-type 3D scanning device. J. Equine Sci. 32: 73–80.
13. Murray, J.M.D., Bloxham, C., Kulifay, J., Stevenson, A., and Roberts, J. 2015. Equine nutrition: a survey of perceptions and practices of horse owners undertaking a massive open online course in equine nutrition. J. Equine Vet. Sci. 35: 510–517.
14. Oki, H., and Nagata, Y. 1983. A study on growth on 24 body parts in the Thoroughbred. Bull. Epuine Res.Inst. 20: 16–26.
5. Fischer, A., Luginbühl, T., Delattre, L., Delouard, J.M., and Faverdin, P. 2015. Rear shape in 3 dimensions summarized by principal component analysis is a good predictor of body condition score in Holstein dairy cows. J. Dairy Sci. 98: 4465–4476.
11
12
13
14
15
16
17
1
2
3
4
5
6
7
8
9
10
References_xml – reference: 6. Hoffmann, G., Bentke, A., Rose-Meierhöfer, S., Ammon, C., Mazetti, P., and Hardarson, G.H. 2013. Estimation of the body weight of Icelandic horses. J. Equine Vet. Sci. 33: 893–895.
– reference: 1. Bland, J.M., and Altman, D.G. 1986. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327: 307–310.
– reference: 4. Le Cozler, Y., Allain, C., Caillot, A., Delouard, J.M., Delattre, L., Luginbuhl, T., and Faverdin, P. 2019. High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits. Comput. Electron. Agric. 157: 447–453.
– reference: 12. Matsuura, A., Dan, M., Hirano, A., Kiku, Y., Torii, S., and Morita, S. 2021. Body measurement of riding horses with a versatile tablet-type 3D scanning device. J. Equine Sci. 32: 73–80.
– reference: 8. Huang, L., Guo, H., Rao, Q., Hou, Z., Li, S., Qiu, S., Fan, X., and Wang, H. 2019. Body dimension measurements of Qinchuan cattle with transfer learning from LiDAR sensing. Sensors (Basel) 19: 5046.
– reference: 5. Fischer, A., Luginbühl, T., Delattre, L., Delouard, J.M., and Faverdin, P. 2015. Rear shape in 3 dimensions summarized by principal component analysis is a good predictor of body condition score in Holstein dairy cows. J. Dairy Sci. 98: 4465–4476.
– reference: 9. Jones, R.S., Lawrence, T.L.J., Veevers, A., Cleave, N., and Hall, J. 1989. Accuracy of prediction of the liveweight of horses from body measurements. Vet. Rec. 125: 549–553.
– reference: 16. Vieira, P.S., Nogueira, C.E.W., Santos, A.C., Borba, L.D.A., Scalco, R., Brasil, C.L., Barros, W.S., and Curcio, B.D.R. 2017. Development of a weight-estimation model to use in pregnant criollo-type mares. Cienc. Rural 48: e20160590.
– reference: 2. Carroll, C.L., and Huntington, P.J. 1988. Body condition scoring and weight estimation of horses. Equine Vet. J. 20: 41–45.
– reference: 7. Huang, L., Li, S., Zhu, A., Fan, X., Zhang, C., and Wang, H. 2018. Non-contact body measurement for Qinchuan cattle with LiDAR sensor. Sensors (Basel) 18: 3014.
– reference: 17. Wagner, E.L., and Tyler, P.J. 2011. A comparison of weight estimation methods in adult horses. J. Equine Vet. Sci. 31: 706–710.
– reference: 10. Li, J., Ma, W., Li, Q., Zhao, C., Tulpan, D., Yang, S., Ding, L., Gao, R., Yu, L., and Wang, Z. 2022. Multi-view real-time acquisition and 3D reconstruction of point clouds for beef cattle. Comput Electron Agric 197: 106987.
– reference: 11. Martinson, K.L., Coleman, R.C., Rendahl, A.K., Fang, Z., and McCue, M.E. 2014. Estimation of body weight and development of a body weight score for adult equids using morphometric measurements. J. Anim. Sci. 92: 2230–2238.
– reference: 14. Oki, H., and Nagata, Y. 1983. A study on growth on 24 body parts in the Thoroughbred. Bull. Epuine Res.Inst. 20: 16–26.
– reference: 15. Pérez-Ruiz, M., Tarrat-Martín, D., Sánchez-Guerrero, M.J., and Valera, M. 2020. Advances in horse morphometric measurements using LiDAR. Comput. Electron. Agric. 174: 105510.
– reference: 13. Murray, J.M.D., Bloxham, C., Kulifay, J., Stevenson, A., and Roberts, J. 2015. Equine nutrition: a survey of perceptions and practices of horse owners undertaking a massive open online course in equine nutrition. J. Equine Vet. Sci. 35: 510–517.
– reference: 3. Catalano, D.N., Coleman, R.J., Hathaway, M.R., Neu, A.E., Wagner, E.L., Tyler, P.J., McCue, M.E., and Martinson, K.L. 2019. Estimation of actual and ideal bodyweight using morphometric measurements of miniature, saddle-type, and Thoroughbred horses. J. Equine Vet. Sci. 78: 117–122.
– ident: 9
  doi: 10.1136/vr.125.22.549
– ident: 8
  doi: 10.3390/s19225046
– ident: 1
  doi: 10.1016/S0140-6736(86)90837-8
– ident: 4
  doi: 10.1016/j.compag.2019.01.019
– ident: 13
  doi: 10.1016/j.jevs.2015.02.005
– ident: 7
  doi: 10.3390/s18093014
– ident: 14
– ident: 17
  doi: 10.1016/j.jevs.2011.05.002
– ident: 10
  doi: 10.1016/j.compag.2022.106987
– ident: 5
  doi: 10.3168/jds.2014-8969
– ident: 12
  doi: 10.1294/jes.32.73
– ident: 16
  doi: 10.1590/0103-8478cr20160590
– ident: 6
  doi: 10.1016/j.jevs.2013.01.002
– ident: 2
  doi: 10.1111/j.2042-3306.1988.tb01451.x
– ident: 3
  doi: 10.1016/j.jevs.2019.04.008
– ident: 11
  doi: 10.2527/jas.2013-6689
– ident: 15
  doi: 10.1016/j.compag.2020.105510
SSID ssj0025519
Score 2.2825124
Snippet Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported...
Although there have been advances in the technology for measuring horse body size with stereoscopic three-dimensional (3D) scanners, previously reported...
SourceID pubmedcentral
proquest
pubmed
crossref
jstage
SourceType Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 1
SubjectTerms Body length
body measurement
Body measurements
Body size
Chest
composite stereoscopic image
conformation
Correlation coefficient
Correlation coefficients
Croup
Error analysis
horse
Horses
Regression analysis
Scanners
Scanning
Stereoscopy
Three dimensional composites
three-dimensional scan
Time measurement
Title 3D imaging and body measurement of riding horses using four scanners simultaneously
URI https://www.jstage.jst.go.jp/article/jes/35/1/35_JES2311/_article/-char/en
https://www.ncbi.nlm.nih.gov/pubmed/38524754
https://www.proquest.com/docview/3080101356
https://www.proquest.com/docview/2985794376
https://pubmed.ncbi.nlm.nih.gov/PMC10955269
Volume 35
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
ispartofPNX Journal of Equine Science, 2024, Vol.35(1), pp.1-7
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA6iHryIb9cXEcRbddu8WkFEfCCCXnRhbyVtkn2grW4V3H_vTNutruzJSy-ZEDqT6XyTTL8h5MiFjgXWCE9D8gUJigSfC431pDZaByoBiFQWyD7Kuw6_74ruHJl026wVWMxM7bCfVGf0cvL1Pr4Ahz8vuREifjqElJKJE8iBFiAeKXTPB97cJQBmLtt7-Iy3sW5d1hS0v2dOBaXFIeCynp0FOf9WTv4KRbcrZLnGkPSyMvoqmbPZGln7AYD0mJbNy4t18sSu6eC17EREdWZokpsxff05F6S5o6MBxi_az7Gcg2IhfI86WIMWoPYM4CEtBlh3qDObfxYv4w3Sub15vrrz6j4KXsoBUHmJlTqVVkmRutTYIHFB0na6bVPNXOQ7yRU2IE7aRnMeGSWMiJDmRTPI5Uxq2CaZz_LMbhMqIhNIQAjI-sdVKBMXmtCAUiErUn6kWuRwosj4raLLiDHNAGXHoOyYidhvkbNKw41E7SSNBD7ub54AevrNGP6EBp7cInsTq8STzRIzgL3waWFCwvrNMPgJXn5UyomDKBRIhqdAZqsyYrM-CwW8jeAtEk6ZtxFADu7pkWzQL7m4faTwC2S08_-pu2QpAKRUnevskfmP0afdB6TzkRyUG_mgPIL6BiarA4M
linkProvider Scholars Portal
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=3D+imaging+and+body+measurement+of+riding+horses+using+four+scanners+simultaneously&rft.jtitle=Journal+of+equine+science&rft.au=MATSUURA%2C+Akihiro&rft.au=TORII%2C+Suzuka&rft.au=OJIMA%2C+Yuki&rft.au=KIKU%2C+Yoshio&rft.date=2024&rft.pub=The+Japanese+Society+of+Equine+Science&rft.issn=1340-3516&rft.eissn=1347-7501&rft.volume=35&rft.issue=1&rft.spage=1&rft.epage=7&rft_id=info:doi/10.1294%2Fjes.35.1&rft.externalDocID=PMC10955269
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1340-3516&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1340-3516&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1340-3516&client=summon