• Title/Summary/Keyword: Vision Technique

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Development of Stereo Camera for Railway Platform Monitoring (철도승강장 모니터링을 위한 스테레오카메라 개발연구)

  • Won, Jong-Un;Oh, Seh-Chan;Kim, Gil-Dong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2010.06a
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    • pp.293-293
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    • 2010
  • In this paper, we propose a stereo vision based monitoring concept for passenger's safety on railroad platform. In general, basic concept of stereo image processing technique uses the correlations between left and right images, and extracts additional distance information. It provides easy removal of ambient illumination changes, which has been difficult to achieve with conventional 2D based image processing technique. In the paper, we present developed stereo camera and stereo vision based detection algorithm in order to monitor possible accidents at platform area, and verified the detection performance of proposed system with experimental results.

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A Study on Machine Vision System and Camera Modeling with Geometric Distortion

  • 왕한흥;한성현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.179-185
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    • 1997
  • This paper presents machine vision technique with a camera modeling that accounts for major sources of camera distortion, namely,radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to varios degrees of decentering,that is,the optical centers of lens elements are not strictly collinear. Thin prism distortion arises form imperfection in lens design and manufacturing as well as camera assembly. It is our purpose to develop the vision system for the pattern recognition and the automatic test of and to apply the line of part manufacturing.

A Monocular Vision Based Technique for Estimating Direction of 3D Parallel Lines and Its Application to Measurement of Pallets (모노 비전 기반 3차원 평행직선의 방향 추정 기법 및 파렛트 측정 응용)

  • Kim, Minhwan;Byun, Sungmin;Kim, Jin
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1254-1262
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    • 2018
  • Many parallel lines may be shown in our real life and they are useful for analyzing structure of objects or buildings. In this paper, a vision based technique for estimating three-dimensional direction of parallel lines is suggested, which uses a calibrated camera and is applicable to an image being captured from the camera. Correctness of the technique is theoretically described and discussed in this paper. The technique is well applicable to measurement of orientation of a pallet in a warehouse, because a pair of parallel lines is well detected in the front plane of the pallet. Thereby the technique enables a forklift with a well-calibrated camera to engage the pallet automatically. Such a forklift in a warehouse can engage a pallet on a storing rack as well as one on the ground. Usefulness of the suggested technique for other applications is also discussed. We conducted an experiment of measuring a real commercial pallet with various orientation and distance and found for the technique to work correctly and accurately.

Development of Mission and Vision of College of Korean Medicine Using the Delphi Techniques and Big-Data Analysis

  • Yeo, Sanghee;Choi, Seong Hun;Chae, Su Jin
    • The Journal of Korean Medicine
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    • v.42 no.4
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    • pp.176-184
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    • 2021
  • Objectives: The purpose of this study is to introduce the procedures and methods for mission and vision development at a College of Korean Medicine (CKM), which established its mission and vision using Delphi techniques and big data analysis on various members and stakeholders. Methods: A total of 754 participated in the Delphi survey. A Delphi survey was conducted with professors, students, parents, and alumni stakeholders to establish Daegu Haany University CKM's mission and vision. The data were analyzed through content analysis and big data analysis of keywords. Results: As a result of the study, the most important keywords to be included in the mission and vision were "professionalism" and "morality." Included in the mission were the concepts of "morality" and "professionalism," which were emphasized by the four groups. All surveyed stakeholders regarded "scientific," and "global" as important themes to be included in the vision. Conclusions: The present study confirmed that there were themes commonly prioritized by all stakeholders for college mission and vision, and a difference in demand for educational goals between professors and students was also affirmed. Therefore, institutions of higher learning should develop their mission and vision by appropriately reflecting the needs of the interest groups.

Calibration of 3D Coordinates in Orthogonal Stereo Vision (직교식 스테레오 비젼에서의 3차원 좌표 보정)

  • Yoon, Hee-Joo;Seo, Young-Wuk;Bae, Jung-Soo;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.504-507
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    • 2005
  • In this paper, we propose a calibration technique of 3D coordinates using orthogonal stereo vision. First, we acquire front- image and upper- image from stereo cameras with real time and extract each coordinates of a moving object using differential operation and ART2 clustering algorithm. Then, we can generate 3D coordinates of that moving object through combining these two coordinates. Finally, we calibrate 3D coordinates using orthogonal stereo vision since 3D coordinates are not accurate due to perspective. Experimental results show that accurate 3D coordinates of a moving object can be generated by the proposed calibration technique.

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Vision-based Self Localization Using Ceiling Artificial Landmark for Ubiquitous Mobile Robot (유비쿼터스 이동로봇용 천장 인공표식을 이용한 비젼기반 자기위치인식법)

  • Lee Ju-Sang;Lim Young-Cheol;Ryoo Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.560-566
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    • 2005
  • In this paper, a practical technique for correction of a distorted image for vision-based localization of ubiquitous mobile robot. The localization of mobile robot is essential and is realized by using camera vision system. In order to wide the view angle of camera, the vision system includes a fish-eye lens, which distorts the image. Because a mobile robot moves rapidly, the image processing should he fast to recognize the localization. Thus, we propose the practical correction technique for a distorted image, verify the Performance by experimental test.

A Study on Machine Vision System and Camera Modeling with Geometric Distortion (기하학적 왜곡을 고려한 카메라 모델링 및 머신비젼 시스템에 관한 연구)

  • 계중읍
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.4
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    • pp.64-72
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    • 1998
  • This paper a new approach to the design of machine vision technique with a camera modeling that accounts for major sources of geometric distortion, namely, radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to various degrees of decentering , that is , the optical centers of lens design and manufacturing as well as camera assembly. It is our propose to develop the vision system for the pattern recognition and the automatic test of parts and to apply the line of manufacturing. The performance of proposed vision system is illustrated by simulation and experiment.

Evolutionary Generation Based Color Detection Technique for Object Identification in Degraded Robot Vision (저하된 로봇 비전에서의 물체 인식을 위한 진화적 생성 기반의 컬러 검출 기법)

  • Kim, Kyoungtae;Seo, Kisung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.7
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    • pp.1040-1046
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    • 2015
  • This paper introduces GP(Genetic Programming) based color detection model for an object detection of humanoid robot vision. Existing color detection methods have used linear/nonlinear transformation of RGB color-model. However, most of cases have difficulties to classify colors satisfactory because of interference of among color channels and susceptibility for illumination variation. Especially, they are outstanding in degraded images from robot vision. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various environments in robot vision for real humanoid Nao.

Vision-based Localization for AUVs using Weighted Template Matching in a Structured Environment (구조화된 환경에서의 가중치 템플릿 매칭을 이용한 자율 수중 로봇의 비전 기반 위치 인식)

  • Kim, Donghoon;Lee, Donghwa;Myung, Hyun;Choi, Hyun-Taek
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.8
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    • pp.667-675
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    • 2013
  • This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, dead-reckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.