Journal of Biosystems Engineering
- 제23권4호
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- Pages.381-390
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- 1998
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- 1738-1266(pISSN)
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- 2234-1862(eISSN)
컴퓨터 시각과 레이저 구조광을 이용한 물체의 3차원 정보 추출
Three Dimensional Geometric Feature Detection Using Computer Vision System and Laser Structured Light
초록
An algorithm to extract the 3-D geometric information of a static object was developed using a set of 2-D computer vision system and a laser structured lighting device. As a structured light pattern, multi-parallel lines were used in the study. The proposed algorithm was composed of three stages. The camera calibration, which determined a coordinate transformation between the image plane and the real 3-D world, was performed using known 6 pairs of points at the first stage. Then, utilizing the shifting phenomena of the projected laser beam on an object, the height of the object was computed at the second stage. Finally, using the height information of the 2-D image point, the corresponding 3-D information was computed using results of the camera calibration. For arbitrary geometric objects, the maximum error of the extracted 3-D feature using the proposed algorithm was less than 1~2mm. The results showed that the proposed algorithm was accurate for 3-D geometric feature detection of an object.