Color Algorithms for a General Vision System
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Perception. Pages 759-761.
Abstract
We ~how that an intelligent approach to color can be tued to ~ignificantly improve the capabilitie~ of a vi~ion ~ytem . In previotu work, we adopted general phy~ical modelwhich de~cribe how object~ interact with light. The~e model~ are far more general than tho~e typically u~ed in computer vi~ion. In thi~ report, we tue our phy~ical mode/8 to derive powerful algorithm8 for extracting invariant propertie8 of object8 from image8. The jir8t algorithm i~ used for the generic cla88ijication of object~ according to material. The ucond algorithm provide8 a ~olution to the color con8tancy problem . Theu algorithm8 have been implemented and produce correct re8ulb on real image8. Some example8 of experimental re~ult8 are pre8ented.
@inproceedings{ijcai1987p154,
title = {Color Algorithms for a General Vision System},
author = {Healey, Glenn and Binford, Thomas O.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {759--761},
year = {1987},
note = {Perception},
url = {https://ijcai.org/proceedings/1987/154},
}
TY - CPAPER TI - Color Algorithms for a General Vision System AU - Healey, Glenn AU - Binford, Thomas O. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 759 EP - 761 UR - https://ijcai.org/proceedings/1987/154 ER -Copied
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