Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Reduction Method of Search Space for Polyhedral Object Recognition

다면체 인식을 위한 탐색 공간 감소 기법

  • 이상용 (경남대학교 정보통신공학부)
  • Published : 2003.08.01
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Abstract

We suggest a method which reduces the search space of a model-base on multiple-view approach for polyhedral object recognition using the ART-1 neural network. In this approach, the model-base is consisted of extracted features from two-dimensional projections observed at the predetermined viewpoints of a viewing sphere enclosing the object.

본 논문에서는 다면체의 인식을 위하여 사용되는 여러-방향-보기 방법 (multiple-view approach)에서, ART-1 신경망을 이용하여 모델베이스의 탐색공간 크기를 줄이기 위한 방법을 제안한다. 이 방법에서 모델베이스는 물체를 둘러싸고 있는 보기 구체의 미리 정해진 시점에서 관측된 2차원 투영체에서 추출된 특징들로 구성된다.

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