DocumentCode
3054173
Title
3D computer vision for agrotics: the potato operation, an overview
Author
Lefebvre, M. ; Gil, Stephanie ; Glassey, M.A. ; Baur, C. ; Pun, T.
Author_Institution
Geneva Univ., Italy
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
207
Lastpage
210
Abstract
The potato operation is a project belonging to the domain of agricultural robotics, or agrotics. It aims to automate pulp sampling of potatoes in order to detect viral diseases. The difficulty of this problem lies in the high variability (shape, texture, colour) of natural objects. Three approaches have been studied, based on contour classification, on thermometry and on active vision and image analysis. Cooperation between robotics, active 3D computer vision and robust image analysis leads to a performant solution
Keywords
agriculture; computer vision; industrial robots; 3D computer vision; active 3D computer vision; active vision; agricultural robotics; agrotics; contour classification; image analysis; potato operation; pulp sampling; robust image analysis; thermometry; variability; viral diseases; Cameras; Computer vision; Diseases; Image color analysis; Image sampling; Robot kinematics; Robot vision systems; Robotics and automation; Sampling methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2910-X
Type
conf
DOI
10.1109/ICPR.1992.201542
Filename
201542
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