Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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An extraction of depth information in pattern using directions and slopes

방향과 경사도 분포를 이용한 패턴의 굴곡 성분 추출

  • Jeon, H.J. (Dept. of Computer Science, Ewha Womans University) ;
  • Cho, D.S. (Dept. of Computer Science, Ewha Womans University) ;
  • Kim, B.C. (Dept. of Computer Engineering, Seoul National University)
  • 전혜정 (이화여자대학교 전자계산학과) ;
  • 조동섭 (이화여자대학교 전자계산학과) ;
  • 김병철 (서울대학교 컴퓨터공학과)
  • Published : 1992.07.23
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Abstract

In this paper, an extraction of depth intonation in pattern using neural network is presented. All the 3D images represent the depth information in grey pixels. This pixels which have analog values translated digital values. Because of the noise and distortion in pattern, we use the normalization in learning and recalling the patterns. Our method has eight direction vectors and slopes for pattern. Also, we use potential to obtain the mean slope and direction vectors of given 3D patches. The higher level of deduction finding the global depth information is also carried out by using neural network.

Keywords