Journal of the Institute of Electronics Engineers of Korea SC (전자공학회논문지SC)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Object and Pose Recognition with Boundary Extraction from 3 Dimensional Depth Information

3 차원 거리 정보로부터 물체 윤곽추출에 의한 물체 및 자세 인식

  • Gim, Seong-Chan (SAMSUNG) ;
  • Yang, Chang-Ju (Electronic and Information Engineering Faculty, Chonbuk National University) ;
  • Lee, Jun-Ho (Electronic and Information Engineering Faculty, Chonbuk National University) ;
  • Kim, Jong-Man (Department of Renewable energy electricity, Jeonnam Provincial College) ;
  • Kim, Hyoung-Suk (Electronic and Information Engineering Faculty, Chonbuk National University)
  • 김성찬 (삼성전자) ;
  • 양창주 (전북대학교 전자정보공학부) ;
  • 이준호 (전북대학교 전자정보공학부) ;
  • 김종만 (전남도립대학교 신재생에너지전기과) ;
  • 김형석 (전북대학교 전자정보공학부)
  • Received : 2010.11.26
  • Published : 2011.11.25
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Abstract

Stereo vision approach to solve the problem using a single camera three dimension precise distance measurement and object recognition method is proposed. Precise three dimensional information of objects can be obtained using single camera, a laser light and a rotating flat mirror. With a simple thresholding operation on the depth information, the segmentations of objects can be obtained. Comparing the signatures of object boundaries with database, objects can be recognized. Improving the simulation results for the object recognition by precise distance measurement are presented.

스테레오 비젼 방식의 단점을 보완하기 위해 단일 카메라를 이용한 3차원 정밀 거리 측정 및 물체 인식방법을 제안하였다. 단일 카메라, 레이저 광 그리고 회전 평면경을 사용하여 정밀한 3 차원 거리 정보를 얻을 수 있다. 거리정보로 표현된 물체 영역에 간단한 문턱치 처리를 사용하면, 물체의 윤곽을 얻을 수 있으며, 그 윤곽에 대한 시그니처를 데이터베이스와 비교 함으로써, 물체와 그 자세까지 인식할 수 있다. 정밀 거리측정에 의한 물체 인식률 향상을 보이기 위해 시뮬레이션 결과를 제시하였다.

Keywords

References

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