The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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An Easy Camera-Projector Calibration Technique for Structured Light 3-D Reconstruction

구조광 방식 3차원 복원을 위한 간편한 프로젝터-카메라 보정 기술

  • 박순용 (경북대학교 IT대학 컴퓨터학부) ;
  • 박고광 (경북대학교 전자전기컴퓨터학부) ;
  • Received : 2009.11.09
  • Accepted : 2010.05.14
  • Published : 2010.06.30
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Abstract

The structured-light 3D reconstruction technique uses a coded-pattern to find correspondences between the camera image and the projector image. To calculate the 3D coordinates of the correspondences, it is necessary to calibrate the camera and the projector. In addition, the calibration results affect the accuracy of the 3D reconstruction. Conventional camera-projector calibration techniques commonly require either expensive hardware rigs or complex algorithm. In this paper, we propose an easy camera-projector calibration technique. The proposed technique does not need any hardware rig or complex algorithm. Thus it will enhance the efficiency of structured-light 3D reconstruction. We present two camera-projector systems to show the calibration results. Error analysis on the two systems are done based on the projection error of the camera and the projector, and 3D reconstruction of world reference points.

구조광(structured-light)을 이용한 3차원 복원 기술은 카메라 영상과 프로젝터 영상에서 구조광 코드(code)의 일치점을 탐색하고 그 점의 3차원 좌표를 획득하는 기술이다. 일치점의 3차원 좌표를 계산하기위해서는 카메라와 프로젝터의 보정(calibration)이 선행되어야 한다. 또한 복원된 3차원 형상의 정확도는 카메라와 프로젝터의 보정 결과에 영향을 받는다. 기존의 카메라-프로젝터 보정 기술은 고가의 장치를 사용하거나 복잡한 알고리즘을 사용하여 시간과 비용에 대한 효율성이 낮았다. 본 논문에서는 쉽고도 정밀한 카메라-프로젝터 보정 기술을 제안하고자 한다. 제안하는 기술은 복잡한 장치 또는 알고리즘이 필요치 않고 영상처리 기술로만 구현이 가능하기 때문에 3차원 형상복원의 효율성을 높일 수 있다. 두 종류의 카메라-프로젝터 장치에 대한 보정 실험 결과를 보였으며, 보정된 카메라와 프로젝터의 투영 오차 및 월드 기준점의 3차원 복원 오차를 측정하여 제안하는 알고리즘의 정밀도를 분석하였다.

Keywords

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