The use of stereophotogrammetry to determine the size and spatial coordinates to generate a 3D model of an animal 

DOI:10.17221/65/2015-RAECitation:Libich L., Hruška M., Vaculík P., Přikryl M. (2017): The use of stereophotogrammetry to determine the size and spatial coordinates to generate a 3D model of an animal . Res. Agr. Eng., 63: 47-53.
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This study considers the process of 3D scanning of farm animals using the method of stereophotogrammetry. This involves taking stereoscopic pictures of an animal, from which the spatial coordinates of selected anatomic points on the animal are determined using triangulation. These points are chosen in such a way to make it possible to determine from them the dimensions used in animal breeding databases and to draw a skeleton to be used in generating a 3D model of the animal. The dimensions of the animals were identified from this test group using an analysis of stereoscopic images and these were then compared with measurements done by hand on the same group. It can be said that the process of scanning farm animals in an authentic environment, which can be modified according to the current needs of the required imaging, was verified based on this measurement. This system also allows us to obtain 3D coordinates for further data evaluation and for the possible generation of a 3D model. 

References:
Bewley J.M., Peacock A.M., Lewis O., Boyce R.E., Roberts D.J., Coffey M.P., Kenyon S.J., Schutz M.M. (2008): Potential for Estimation of Body Condition Scores in Dairy Cattle from Digital Images. Journal of Dairy Science, 91, 3439-3453 doi:10.3168/jds.2007-0836
 
Evers-Senne J.-F., Woetzel J., Koch R. (2004): Modelling and rendering of complex scenes with a multi-camera rig, 1st European Conference on Visual Media Production, CVMP 2004; London; United Kingdom: 11–19.
 
Hruška M., Nevoral J. (2013): Creating of the skeleton of a digital domestic cattle model. In: Trends in Agricultural Engineering 2013, 6: 693–698.
 
Huttner B., Sutor A., Luegmair G., Rupitsch S. J., Lerch R., Döllinger M. (2011): Optical 3-D Metric Measurements of Local Vocal Fold Deformation Characteristics in an In Vitro Setup. IEEE Transactions on Biomedical Engineering, 58, 2758-2766 doi:10.1109/TBME.2011.2130525
 
Jacobs J.A., Siegford J.M. (2012): Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare. Journal of Dairy Science, 95, 2227-2247 doi:10.3168/jds.2011-4943
 
Menesatti Paolo, Costa Corrado, Antonucci Francesca, Steri Roberto, Pallottino Federico, Catillo Gennaro (2014): A low-cost stereovision system to estimate size and weight of live sheep. Computers and Electronics in Agriculture, 103, 33-38 doi:10.1016/j.compag.2014.01.018
 
Negretti P., Bianconi G., Bartocci S., Terramoccia S., Noè L. (2011): New morphological and weight measurements by visual image analysis in sheep and goats. Scientific Series, 129: 227–232.
 
Pu J., Liu Y., Xin G., Zha H., Liu W., Yusuke U. (2004): 3D model retrieval based on 2D slice similarity measurements. In: Proceedings from 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004: 95–10.
 
Sowande O. S., Sobola O. S. (2008): Body measurements of west African dwarf sheep as parameters for estimation of live weight. Tropical Animal Health and Production, 40, 433-439 doi:10.1007/s11250-007-9116-z
 
Svaz chovatelů holštýnského skotu ČR (2004): Lineární popis a hodnocení zevnějšku krav holštýnského plemene. Available at http://www.holstein.cz/
 
Tasdemir S., Urkmez A., Yakar M., Inal S. (2009): Determination of camera calibration parameters at digital image analysis. IATS’09.
 
Tasdemir Sakir, Urkmez Abdullah, Inal Seref (2011): Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis. Computers and Electronics in Agriculture, 76, 189-197 doi:10.1016/j.compag.2011.02.001
 
Wu Jiahua, Tillett Robin, McFarlane Nigel, Ju Xiangyang, Siebert J.Paul, Schofield Paddy (2004): Extracting the three-dimensional shape of live pigs using stereo photogrammetry. Computers and Electronics in Agriculture, 44, 203-222 doi:10.1016/j.compag.2004.05.003
 
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