| ID | 32917 |
| フルテキストURL | |
| 著者 |
Baba, Mitsuru
Okayama University
Ohatani, Kozo
Hiroshima Institute of Technology
Komatsu, Syunya
Okayama Univeristy
|
| 抄録 | This paper describes 3D shape recognition system using ultrasound pressure data and a Genetic Algorithm. The ultrasonic 3D shape recognition system using has commonly used a Neural Network (NN). However, a NN perform poorly when lacking learned data. In order to overcome this problem when using a NN, we here attempt to replace the NN with a Genetic Algorithm (GA). Unlike a NN, the GA can recognize shapes without depending on learned data. Experimental results demonstrate that the recognition ratios of the proposed recognition system using the GA are higher than that of a conventional 3D shape recognition system using a NN. Therefore, it is shown that our ultrasonic 3D shape recognition system is effective for many industrial applications. |
| キーワード | Ultrasonic sensor
3D shape recognition. Generic Algorithms
|
| 備考 | Digital Object Identifier: 10.1109/IMTC.2004.1351468
Published with permission from the copyright holder. This is the institute's copy, as published in Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE, 18-20 May 2004, Volume 3, Pages 1948-1952 . Publisher URL:http://dx.doi.org/10.1109/IMTC.2004.1351468 Copyright © 2004 IEEE. All rights reserved. |
| 発行日 | 2004-5
|
| 出版物タイトル |
Instrumentation and Measurement Technology Conference
|
| 巻 | 3巻
|
| 開始ページ | 1948
|
| 終了ページ | 1952
|
| 資料タイプ |
学術雑誌論文
|
| 言語 |
英語
|
| 査読 |
有り
|
| DOI | |
| Submission Path | weights_and_measures/7
|
