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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201542
