Natural Object Recognition: A Theoretical Framework and Its Implementation
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Vision. Pages 1264-1269.
Abstract
Most work in visual recognition by computer has focused on recognizing objects by their geomett·ic shape, or by the presence or absence of some prespecified co ll ection of locally measurable attributes (e.g., spectral reflectance, texture, or distinguished markings). On the other hand, most entities in the natural world defy compact description of their shapes, and have no characteristic features with discriminatory power. As a result, image-understanding research has achieved little swress toward recognition in natural scenes. We offer a fundamentally new approach to visual recognition that avoids these limitations and has been used to recognize trees, bushes, grass, and trails in ground-level scenes of a natural environment.
@inproceedings{ijcai1991p186,
title = {Natural Object Recognition: A Theoretical Framework and Its Implementation},
author = {Strat, Thomas M. and Fischler, Martin A.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {1264--1269},
year = {1991},
month = {8},
note = {Vision},
url = {https://ijcai.org/proceedings/1991/186},
}
TY - CPAPER TI - Natural Object Recognition: A Theoretical Framework and Its Implementation AU - Strat, Thomas M. AU - Fischler, Martin A. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 1264 EP - 1269 UR - https://ijcai.org/proceedings/1991/186 ER -Copied
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