• 한국정밀공학회지
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• 제32권7호
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• pp.633-641
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• 2015

In this study, we proposed a three-dimensional (3D) scanning system based on laser-vision technique and rotary mechanism for automatic 3D model reconstruction. The proposed scanning system consists of a laser projector, a camera, and a turntable. For laser-camera calibration a new and simple method was proposed. 3D point cloud data of the surface of scanned object was fully collected by integrating extracted laser profiles, which were extracted from laser stripe images, corresponding to rotary angles of the rotary mechanism. The obscured laser profile problem was also solved by adding an addition camera at another viewpoint. From collected 3D point cloud data, the 3D model of the scanned object was reconstructed based on facet-representation. The reconstructed 3D models showed effectiveness and the applicability of the proposed 3D scanning system to 3D model-based applications.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 춘계종합학술대회
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• pp.168-173
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• 1999

3차원 정보를 얻기 위해서는 레이저나 카메라와 같은 많은 센서들이 이용된다. 그러나 대부분의 레이저 캘리브레이션 방법은 많은 량의 메모리와 실험 데이터가 필요하기 때문에 비효율적인 방법이다. 실 세계상에 놓여있는 물체의 3차원 정보를 얻기 위해서는 레이저 캘리브레이션이 필요한데 본 논문에서는 삼각법을 이용한 슬릿 빔 레이저 캘리브레이션 방법을 소개하고자 한다. xy테이블에 수직으로 설치된 레이저 빔이 아랫 방향으로 사영되고 CCD 카메라는 물체와 사영면이 교차하는 교차면 데이터를 저장한 후 저장된 관측 데이터와 캘리브레이션 데이터를 이용하여 3차원 정보를 얻게된다. 본 논문에서 제시하는 방법은 레이저 캘리브레이션 데이터를 단순히 삼각법을 이용하여 구하기 때문에 컴퓨터의 메모리와 실험 데이터의 량을 줄일 수 있는 장점이 있다.

• 한국정보통신학회논문지
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• 제3권4호
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• pp.859-865
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• 1999

3차원 정보를 얻기 위해서는 레이저나 카메라와 같은 많은 센서들이 이용된다. 그러나 대부분의 레이저 캘리브레이션 방법은 많은 량의 메모리와 실험 데이터가 필요하기 때문에 비효율적인 방법이다. 본 논문에서 제시하는 방법은 레이저 캘리브레이션 데이터를 단순히 삼각법을 이용하여 구하기 때문에 컴퓨터의 메모리와 실험 데이터의 량을 줄일 수 있는 장점이 있다. 실 세계상에 놓여있는 물체의 3차원 정보를 얻기 위해서는 레이저 캘리브레이션이 필요한데 본 논문에서는 삼각법을 이용한 슬릿 빔 레이저 캘리브레이션 방법을 소개하고자 한다. xy테이블에 수직으로 설치된 레이저빔이 아랫 방향으로 사영되고 CCD 카메라는 물체와 사영면이 교차하는 교차면 데이터를 저장한 후 저장된 관측 데이터와 캘리브레이션 데이터를 이용하여 3차원 정보를 얻게된다.

• 한국측량학회지
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• 제36권6호
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• pp.443-449
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• 2018

SLAM (Simultaneous Localization and Mapping) 기반 모바일 매핑 시스템을 활용한 실내 공간의 포인트 클라우드 취득은 건축물의 유지, 관리를 위한 as-built BIM (Building Information Model) 구축의 기초 공정이다. 본 연구에서는 다중 2D 레이저 스캐너로 구성된 모바일 매핑 시스템의 구축을 위한 시뮬레이션 기반 검정(calibration) 표적의 구조 결정 방법을 제안하였다. 2D 레이저 스캐너의 외부 표정요소 검정을 위해 (1) 원형, (2) 사각형, (3) 이중 원형, (4) 이중 사각형 형태의 표적을 구성하였다. 시뮬레이션을 통해 얻어진 각 표적 관측 값을 토대로, 최소제곱법 기반의 외부 표정요소 검정을 수행하였다. 그 결과 사각형 형태의 표적 구조가 주어진 시스템의 검정에 가장 적합한 형태임을 확인하였다. 또한 외부 표정요소 간의 높은 상관성을 확인할 수 있었으며, 표적의 구조에 따른 외부 표정요소의 검정 결과가 상이한 것으로 나타났다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.510-514
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• 1994

This paper deals with an application of neural network to camera calibration with wide angle lens and 2-D range finding. Wide angle lens has an advantage of having wide view angles for mobile environment recognition ans robot eye in hand system. But, it has severe radial distortion. Multilayer neural network is used for the calibration of the camera considering lens distortion, and is trained it by error back-propagation method. MLP can map between camera image plane and plane the made by structured light. In experiments, Calibration of camers was executed with calibration chart which was printed by using laser printer with 300 d.p.i. resolution. High distortion lens, COSMICAR 4.2mm, was used to see whether the neural network could effectively calibrate camera distortion. 2-D range of several objects well be measured with laser range finding system composed of camera, frame grabber and laser structured light. The performance of 3-D range finding system was evaluated through experiments and analysis of the results.

• 제어로봇시스템학회논문지
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• 제20권12호
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• pp.1267-1271
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• 2014

There have been many autonomous robot calibration methods which form closed loop structures through the various attached sensors and mechanical fixtures. Single point calibration among them has been used for on-site calibration due to its convenience of implementation. The robot can reach a single point with infinitely many configurations so that single point calibration algorithm can be set up and easily implemented relative to the other methods. However, it is not still easy to drive the robots' sharp edge to its corresponding edge of the fixture. This is error-prone process. In this paper, we propose a 3 dimensional small displacement measuring sensor and a robot calibration algorithm based on this sensor. This method relieves the difficulty of matching two edges in the single point calibration and improves the resulting robot accuracy. Simulated study is carried out on a Hyundai HA06 robot to show the effectiveness of the proposed method over the single point calibration. And also, the resulting robot accuracy is compared with that from 3D laser tracker based calibration to show the dependency of robot accuracy on range of the workspace where the measurement data are collected.

• Journal of Biosystems Engineering
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• 제24권2호
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• pp.159-166
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• 1999

A system to extract continuously the real 3-D geometric fearture information from 2-D image of an object, which is fed randomly via conveyor has been developed. Two sets of structured laser lightings were utilized. And the laser structured light projection image was acquired using the camera from the signal of the photo-sensor mounted on the conveyor. Camera coordinate calibration matrix was obtained, which transforms 2-D image coordinate information into 3-D world space coordinate using known 6 points. The maximum error after calibration showed 1.5 mm within the height range of 103mm. The correlation equation between the shift amount of the laser light and the height was generated. Height information estimated after correlation showed the maximum error of 0.4mm within the height range of 103mm. An interactive 3-D geometric feature extracting software was developed using Microsoft Visual C++ 4.0 under Windows system environment. Extracted 3-D geometric feature information was reconstructed into 3-D surface using MATLAB.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.768-772
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• 2008

Various scanning systems have been studied in many industrial areas to acquire a range data or to reconstruct an explicit 3D model. Currently optical technology has been used widely by virtue of noncontactness and high-accuracy. In this paper, we describe a 3D laser scanning system developped to reconstruct the 3D surface of a large-scale object such as a curved-plate of ship-hull. Our scanning system comprises of 4ch-parallel laser vision modules using a triangulation technique. For multi laser vision, calibration method based on least square technique is applied. In global scanning, an effective method without solving difficulty of matching problem among the scanning results of each camera is presented. Also minimal image processing algorithm and robot-based calibration technique are applied. A prototype had been implemented for testing.

• Current Optics and Photonics
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• 제2권6호
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• pp.554-562
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• 2018

This study presents a color 3D scanner based on the laser structured-light imaging method that can simultaneously acquire 3D shape data and color of a target object using a single camera. The 3D data acquisition of the scanner is based on the structured-light imaging method, and the color data is obtained from a natural color image. Because both the laser image and the color image are acquired by the same camera, it is efficient to obtain the 3D data and the color data of a pixel by avoiding the complicated correspondence algorithm. In addition to the 3D data, the color data is helpful for enhancing the realism of an object model. The proposed scanner consists of two line lasers, a color camera, and a rotation table. The line lasers are deployed at either side of the camera to eliminate shadow areas of a target object. This study addresses the calibration methods for the parameters of the camera, the plane equations covered by the line lasers, and the center of the rotation table. Experimental results demonstrate the performance in terms of accurate color and 3D data acquisition in this study.

• 한국해양공학회지
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• 제32권6호
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• pp.511-517
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• 2018

This paper proposes a vision-based underwater laser scanner with separate structures for an underwater camera and a line laser projector. Because the two devices can be adaptively placed regardless of the features of the unmanned underwater vehicle (UUV), the scanner has significant advantages in relation to its availability and flexibility. Position calibration between the underwater camera and laser projector guarantees a 3D measuring performance with high accuracy. To verify the proposed underwater laser scanner, a test-bed system was manufactured, which consisted of the laser projector, camera, Pan&Tilt, and Attitude and Heading Reference System (AHRS). A camera-laser calibration test and simple 3D reconstruction test were performed in a water tank and the experimental results are reported.