Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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3-D Object Recognition and Restoration Independent of the Translation and Rotation Using an Ultrasonic Sensor Array

초음파센서 배열을 이용한 이동과 회전에 무관한 3차원 물체인식과 복원

  • Cho, Hyun-Chul (Dept. of Electronic Eng., Kyung Pook Junior College.) ;
  • Lee, Kee-Seong (School of Electronic and Electrical Eng., Hong-Ik Univ.) ;
  • SaGong, Geon (Dept. of Electrical Eng., Dong-A Univ.)
  • 조현철 (경북전문대학 전자과) ;
  • 이기성 (홍익대학교 전자전기공학부) ;
  • 사공건 (동아대학교 전기공학과)
  • Published : 1996.07.22
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Abstract

3-D object recognition and restoration independent of the translation and rotation using an ultrasonic sensor array, neural networks and invariant moment are presented. Using invariant moment vectors on the acquired $16{\times}8$ pixel data, 3-D objects can be classified by SOFM(Self Organizing Feature Map) neural networks. Invariant moment vectors kept constant independent of the translation and rotation. The experiment result shows the suggested method can be applied to the environment recognition.

Keywords