@inproceedings{e2a9870c4e944416a0851b520f83513e,
title = "Shape recognition for machined parts",
abstract = "In this paper, a structural model based on boundary information is proposed to describe the silhouette of planar objects (esp. machined parts). The structural model describes objects by a set of primitives, which compresses the data, saves the computer space, and provides a compact and meaningful form to facilitate further recognition operation. The object recognition is then accomplished by using a multi-layered feed-forward neural network. The proposed model is transformation invariant which offers the necessary flexibility for real time implementation.",
author = "Ventura, {Jose A.} and Chen, {Jen Ming}",
year = "1993",
language = "???core.languages.en_GB???",
isbn = "0898061326",
series = "Proceedings of the Industrial Engineering Research Conference",
publisher = "Publ by IIE",
pages = "694--699",
editor = "Mitta, {Deborah A.} and Burke, {Laura I.} and English, {John R.} and Jennie Gallimore and Georgia-Ann Klutke and Tonkay, {Gregory L.}",
booktitle = "Proceedings of the Industrial Engineering Research Conference",
note = "Proceedings of the 2nd Industrial Engineering Research Conference ; Conference date: 26-05-1993 Through 28-05-1993",
}