• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1248-1250
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• 1996

The objective of camera calibration is to obtain the correlation between camera image coordinate and 3-D real world coordinate. Most calibration methods are based on the camera model which consists of physical parameters of the camera like position, orientation, focal length, etc and in this case camera calibration means the process of computing those parameters. In this research, we suggest a new approach which must be very efficient because the artificial neural network(ANN) model implicitly contains all the physical parameters, some of which are very difficult to be estimated by the existing calibration methods. Implicit camera calibration which means the process of calibrating a camera without explicitly computing its physical parameters can be used for both 3-D measurement and generation of image coordinates. As training each calibration points having different height, we can find the perspective projection point. The point can be used for reconstruction 3-D real world coordinate having arbitrary height and image coordinate of arbitrary 3-D real world coordinate. Experimental comparison of our method with well-known Tsai's 2 stage method is made to verify the effectiveness of the proposed method.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.155-155
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• 2019

The Agricultural Policy/Environmental eXtender (APEX) models have been developed for assessing agricultural management efforts and their effects on soil and water at the field scale as well as more complex multi-subarea landscapes, whole farms, and watersheds. National Academy of Agricultural Sciences, Wanju, Korea, has modified a key component of APEX application, named APEX-Paddy for simulating water quality with considering appropriate paddy management practices, such as puddling and flood irrigation management. Calibration and validation are an anticipated step before any model application. Simple techniques are essential to assess whether or not a parameter should be adjusted for calibration. However, very few study has been done to evaluate the ability of APEX-Paddy to simulate the impact of multiple management scenarios on nutrients loss. In this study, the observation data from experimental fields at Iksan in South Kora was used in calibration and evaluation process during 2013-2015. The APEX auto- calibration tool (APEX-CUTE) was used for model calibration and sensitivity analysis. Four quantitative statistics, the coefficient of determination ($R^2$),Nash-Sutcliffe(NSE),percentbias(PBIAS)androotmeansquareerror(RMSE)were used in model evaluation. In this study, the hydrological process of the modified model, APEX-Paddy, is being calibrated and tested in predicting runoff discharge rate and nutrient yield. Field-scale calibration and validation processes are described with an emphasis on essential calibration parameters and direction regarding logical sequences of calibration steps. This study helps to understand the calibration and validation way is further provided for applications of APEX-Paddy at the field scales.

• Bulletin of the Korean Chemical Society
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• 제22권3호
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• pp.251-252
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• 2001

• 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.

• 센서학회지
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• 제12권6호
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• pp.258-264
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• 2003

본 연구에서는 영상처리를 통한 부액계의 교정방법을 연구한다. 이 방법은 부액계를 교정하기 위해 선정된 부액계의 측정눈금과 기준액체의 수평면을 교정자의 조작 없이 자동으로 일치시킨다. 이 시스템은 CCD카메라, frame grabber, 스텝모터, 영상처리를 포함한 시스템프로그램으로 구성된다. 영상처리프로그램은 부액계의 측정눈금부위와 기준액체의 수평면사이에서 발생하는 메니스커스를 검색하여 눈금을 일치시키는 부분과 스텝모터를 제어하는 부분으로 구성한다. 본 연구에서 개발한 시스템의 성능을 검증하기 위하여 교정자의 눈으로 직접 메니스커스와 측정눈금을 관측한 수동교정방법의 교정결과와 비교한다 각각의 교정값의 차이가 $0.004\;kg/m^3$ 이하로서 교정값의 측정 불확도 $0.06\;kg/m^3$을 고려하면 두 방법의 교정결과가 거의 같은 연구결과를 얻었다.

• 제어로봇시스템학회논문지
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• 제5권3호
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• pp.314-323
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• 1999

This paper introduces a methodology of active calibration of a camera pose (orientation and position) using the images of cylindrical objects that are going to be manipulated. This active calibration method is different from the passive calibration where a specific pattern needs to be located at a certain position. In the active calibration, a camera attached on the robot captures images of objects that are going to be manipulated. That is, the prespecified position and orientation data of the cylindrical object are transformed into the camera pose through the two consecutive image frames. An ellipse can be extracted from each image frame, which is defined as a circular-feature matrix. Therefore, two circular-feature matrices and motion parameters between the two ellipses are enough for the active calibration process. This active calibration scheme is very effective for the precise control of a mobile/task robot that needs to be calibrated dynamically. To verify the effectiveness of active calibration, fundamental experiments are peformed.

• 한국정밀공학회지
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• 제16권2호통권95호
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• pp.164-175
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• 1999

If the camera plane is nearly parallel to the calibration board on which objects are defined, most of existing calibration approaches such as Tsai's radial-alignment-constraint method cannot be applied. Recently, for such an ill-conditioned case, Zhuang & Wu suggested the linear two-stage calibration algorithm assuming that the exact values of focal length and scale factor are known a priori. In this paper, we developed an iterative two-stage algorithm starts with initial guess fo the two parameters to determine the value of the others using Zhuang & Wu's method. In the second stage, the two parameters are locally optimized. This process is repeated until any improvement cannot be expected any more. The performance comparison between Zhuang & Wu's method and our algorithm shows the superiority of ours. Also included are the computational results for the effects of the distribution and the number of calibration points on the calibration performance.

• 제어로봇시스템학회논문지
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• 제7권12호
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• pp.1001-1008
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• 2001

This paper presents a new camera calibration algorithm for ill-conditioned cases in which the camera plane is nearly parallel to a set of non-coplanar calibration boards. for the ill-conditioned case, most of existing calibration approaches such as Tsais radial-alignment-constraint method cannot be applied. Recently, for the ill-conditioned coplanar calibration Lee&Lee[16] proposed an iterative algorithm based on the least square method. The non-coplanar calibration algorithm presented in this paper is an iterative two-stage procedure with extends the previous coplanar calibration algorithm. Through the first stage, camera, position and orientation parameters as well as one radial distortion factor are determined optimally for a given data of the scale factor and the focal length. In the second stage, the scale factor and the focal length are locally optimized. This process is repeated until any improvement cannot be expected any more Computational results are provided to show the performance of the algorithm developed.

• 한국소프트웨어감정평가학회 논문지
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• 제16권1호
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• pp.45-53
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• 2020

본 논문에서는 웹 페이지 탐색 시 지속해서 발생하는 사용자 상호작용 과정을 이용하여 시선 검출을 위한 캘리브레이션 데이터를 획득하고, 사용자의 시선을 검출하는 동안 자연스럽게 캘리브레이션을 수행하는 방법에 관하여 기술하였다. 제안된 비강압식 캘리브레이션은 획득한 캘리브레이션 데이터를 이용하여 미리 학습된 시선 검출 CNN 모델을 새로운 사용자에 적응하도록 보정하는 과정이다. 이를 위해 훈련을 통해서 시선을 검출하는 일반화된 모델을 만들고 캘리브레이션에서는 온라인 학습 과정을 통해 빠르게 새로운 사용자에 적응하도록 하였다. 실험을 통하여 다양한 사용자 상호작용의 조합으로 시선 검출 모델을 캘리브레이션 하여 성능을 비교하였으며, 기존 방법 대비 개선된 정확도를 얻을 수 있었다.

• 한국산업정보학회논문지
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• 제15권2호
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• pp.83-90
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• 2010

센서는 센서네트워크와 같은 다양한 센서시스템에 응용되고 있는 핵심부품이다. 그러나 센서는 온도에 따른 출력특성과 비선형성을 가지기 때문에 개발이 쉽지 않다. 이러한 문제점을 해결하기 위해서는 센서의 보정과정이 필요 하지만 현재의 센서보정과정에서는 많은 보정시간과 비용을 요구하고 있다. 그러므로 보정시간과 비용을 최소화할 수 있는 보정시스템개발이 필요하다. 본 논문에서 CO 및 $CO_2$ 센서모듈 개발과 현재의 보정방법에서의 문제점들을 해결할 수 있는 다수센서보정시스템을 제안한다. 제안하는 시스템은 센서모듈, 시스템보드 및 모니터링프로그램 등으로 구성되며 보정은 최소자승법을 기반 한 회귀분석 방법을 사용한다. 제안한 보정시스템의 구성 및 실험결과에 대해 소개하고 결과를 바탕으로 시스템의 유효성을 검증한다.