Access the full text.
Sign up today, get DeepDyve free for 14 days.
Jiahua Wu, R. Tillett, N. McFarlane, X. Ju, J. Siebert, P. Schofield (2004)
Extracting the three-dimensional shape of live pigs using stereo photogrammetryComputers and Electronics in Agriculture, 44
K. Stanford, R.J. Richmond, S.D.M. Jones, W.M. Robertson, M.A. Price, A.J. Gordon
Video image analysis for on‐line classification of lamb
C. Whittemore (1995)
The science and practice of pig production
K. Pulli, T. Duchamp, Hugues Hoppe, J. McDonald, L. Shapiro, W. Stuetzle (1997)
Robust meshes from multiple range mapsProceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)
J. Trevelyan (1992)
Robots for Shearing Sheep: Shear Magic
W. Lorensen, H. Cline (1987)
Marching cubes: A high resolution 3D surface construction algorithmProceedings of the 14th annual conference on Computer graphics and interactive techniques
E. Van der Stuyft, V. Goedseels
Measuring exterior shape on live piglets by means of three dimensional computer vision
J. Marchant, C. Schofield, R. White (1999)
Pig growth and conformation monitoring using image analysis
Jianning Wang, M. Neto (2002)
Improved Scene Reconstruction from Range ImagesComputer Graphics Forum, 21
J. Siebert, S. Marshall (2000)
Human body 3D imaging by speckle texture projection photogrammetrySensor Review, 20
C. Schofield, J. Marchant, R. White, N. Brandl, M. Wilson (1999)
Monitoring pig growth using a prototype imaging systemJournal of Agricultural Engineering Research, 72
J. Marchant, C. Schofield (1993)
Extending the snake image processing algorithm for outlining pigs in scenes
C. Schofield (1990)
Evaluation of image analysis as a means of estimating the weight of pigs.Journal of Agricultural Engineering Research, 47
Hugues Hoppe, T. DeRose, T. Duchamp, J. McDonald, W. Stuetzle (1992)
Surface reconstruction from unorganized pointsProceedings of the 19th annual conference on Computer graphics and interactive techniques
M. Rutishauser, M. Stricker, M. Trobina
Merging range images from arbitrarily shaped objects
G. Horgan, S. Murphy, G. Simm (1995)
Automatic assessment of sheep carcasses by image analysisAnimal Science, 60
P.K. Lee, R.M. Kay
Economic implications of reduced crude protein diets for pigs to reduce ammonia emissions
K. Pulli (1999)
Multiview registration for large data setsSecond International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)
K. Stanford, R. Richmond, S. Jones, W. Robertson, M. Price, A. Gordon (1998)
Video image analysis for on-line classification of lamb carcassesAnimal Science, 67
C. Whittemore, C. Schofield (2000)
A case for size and shape scaling for understanding nutrient use in breeding sows and growing pigsLivestock Production Science, 65
Greg Turk, M. Levoy (1994)
Zippered polygon meshes from range imagesProceedings of the 21st annual conference on Computer graphics and interactive techniques
J.P. Siebert, J.W. Patterson
Captivating models
H. Karara, M. Carbonnell (1979)
Handbook of non-topographic photogrammetry
B. Curless, M. Levoy (1996)
A volumetric method for building complex models from range imagesProceedings of the 23rd annual conference on Computer graphics and interactive techniques
A. Hilton, A. Stoddart, J. Illingworth, T. Windeatt (1996)
Reliable Surface Reconstructiuon from Multiple Range Images
Y.F. Abdel‐Aziz, H.M. Karara
Direct linear transformation from computer coordinates into object coordinates in close‐range photogrammetry
Y. Kawai, T. Ueshiba, T. Yoshimi, M. Oshima (1992)
Reconstruction of 3D objects by integration of multiple range data[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition
J.P. Siebert, C.W. Urquhart
C3D: a novel vision‐based 3D data acquisition system
We have succeeded in capturing porcine 3D surface anatomy in vivo by developing a high‐resolution stereo imaging system. The system achieved accurate 3D shape recovery by matching stereo pair images containing only natural surface textures at high (image) resolution. The 3D imaging system presented for pig shape capture is based on photogrammetry and comprises: stereo pair image acquisition, stereo camera calibration and stereo matching and surface and texture integration. Practical issues have been addressed, and in particular the integration of multiple range images into a single 3D surface. Robust image segmentation successfully isolated the pigs within the stereo images and was employed in conjunction with depth discontinuity detection to facilitate the integration process. The capture and processing chain is detailed here and the resulting 3D pig anatomy obtained using the system presented.
Sensor Review – Emerald Publishing
Published: Sep 1, 2004
Keywords: Image processing; Livestock; Anatomy
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.