Object Identification from Parallel Light Stripes
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Robotics. Pages 1145-1147.
Abstract
In this paper, an algorithm for identifying an object from a set of known objects is presented and justified. The novelty of this algorithm, called Mask, for object identification is in its use of three-dimensional data which has been obtained from projection of parallel laser light planes. The knowledge that laser light planes are parallel to each other allows automatic discovery of two constraints from the three-dimensional data. The first constraint is based on colinearity between various points and the second constraint on coplanarity between various segments of the three-dimensional data. These automatically derived constraints, then, are used by Mask in a tree search algorithm for object identification. Mask has been implemented in Prolog and sample applications to various objects are presented.
@inproceedings{ijcai1987p231,
title = {Object Identification from Parallel Light Stripes},
author = {Arbab, Bijan},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {1145--1147},
year = {1987},
note = {Robotics},
url = {https://ijcai.org/proceedings/1987/231},
}
TY - CPAPER TI - Object Identification from Parallel Light Stripes AU - Arbab, Bijan T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 1145 EP - 1147 UR - https://ijcai.org/proceedings/1987/231 ER -Copied
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