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Visual object classification by robots using on-line self-supervised learning


Reference:

Iravani, P., Hall, P., Beale, D., Charron, C. and Hicks, Y., 2011. Visual object classification by robots using on-line self-supervised learning. IEEE, pp. 1092-1099.

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Abstract

The challenge addressed in this paper is the classification of visual objects by robots. Visual classification is an active field within Computer Vision*with excellent results achieved recently.

Details

Item Type Conference or Workshop Items (UNSPECIFIED)
CreatorsIravani, P., Hall, P., Beale, D., Charron, C. and Hicks, Y.
DOI10.1109/ICCVW.2011.6130372
DepartmentsFaculty of Science > Computer Science
Faculty of Engineering & Design > Mechanical Engineering
StatusPublished
ID Code29065
Additional Information2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011; Barcelona; 6-13 November 2011

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