• Title/Summary/Keyword: stereo image

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Sharing 3D Media with Enhanced Access Grid(e-AG) (Enhanced Access Grid(e-AG)를 통한 3차원 미디어 공유)

  • 이영호;오세찬;이석희;우운택
    • Proceedings of the IEEK Conference
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    • 2003.11b
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    • pp.107-110
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    • 2003
  • In this paper, we propose sharing 3D media between multisite using enhanced Access Grid (e-AG) which is a composition of 3D display and Access Grld (AG) Conventional AG and other collaborative systems have a limitation to share immersive 3D media Thus, proposed system supports sharing 3D media contents in a AG meeting section. Real object can be shared by acquiring stereo image with pre-calibrated stereo camera and by delivering, and virtual object can be shared by transmitting state information after downloading 3D model. And also, real video scene acquired by stereo camera and virtual object from 3D model can be displayed on the 3D display system of each node adaptively. The characteristics of proposed sharing method are sharing 3D media, displaying 3D media on a system adaptively, supporting real-time interaction. The proposed sharing method will be used remote lecture, remote collaboration with 3D media.

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Realization for Moving Object Tracking System in Two Dimensional Plane using Stereo Line CCD

  • Kim, Young-Bin;Ryu, Kwang-Ryol;Sun, Min-Gui;Sclabassi, Robert
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.157-160
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    • 2008
  • A realization for moving object detecting and tracking system in two dimensional plane using stereo line CCDs and lighting source is presented in this paper. Instead of processing camera images directly, two line CCD sensor and input line image is used to measure two dimensional distance by comparing the brightness on line CCDs. The algorithms are used the moving object tracking and coordinate converting method. To ensure the effective detection of moving path, a detection algorithm to evaluate the reliability of each measured distance is developed. The realized system results are that the performance of moving object recognizing shows 5mm resolution and mean error is 1.89%, and enables to track a moving path of object per 100ms period.

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Following Control of Wheeled Mobile Robot Using Stereo Vision Sensor (Stereo Vision을 이용한 Wheeled Mobile Robot의 선행물체 추종제어)

  • Yoon, Jae-Sang;Choi, Kyung-Jin;Moon, Jeng-Woo;Park, Chong-Kug
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.173-177
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    • 2002
  • This paper describes the algorithm for WMR (Wheeled Mobile Robot) to follow the preceding object using stereo vision. The center point of object existing in each image is calculate. From the distance and variation of two center points, we calculates the distance from WMR to preceding object and the relative velocity of WMR. And we use the Lyapunov theory to design controller.

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Real-Time Stereo Object Tracking System using Area-based SAD Algorithm and Optical BPEJTC (영역 기반의 SAD 알고리즘과 광 BPEJTC를 이용한 실시간 스테레오 물체 추적 시스템)

  • 이재수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.10B
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    • pp.1821-1831
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    • 2000
  • In this paper we propose a new adaptive stereo object tracking system that can extract the object from the complex background and foreground noises by using the image-based SAD algorithm and control the convergence angle and pan/tilt of cameras by using optical BPEJTC. From the experimental results the proposed stereo tracking system is found to track the object adpatively under the circumstance of complex and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.

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Stereo Vision based Human Detection using SVM (SVM을 이용한 스테레오 비전 기반의 사람 탐지)

  • Jung, Sang-Jun;Song, Jae-Bok
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.117-118
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    • 2007
  • A robot needs a human detection algorithm for interaction with a human. This paper proposes a method that finds people using a SVM (support vector machine) classifier and a stereo camera. Feature vectors of SVM are extracted by HoG (histogram of gradient) within images. After training extracted vectors from the clustered images, the SVM algorithm creates a classifier for human detection. Each candidate for a human in the image is generated by clustering of depth information from a stereo camera and the candidate is evaluated by the classifier. When compared with the existing method of creating candidates for a human, clustering reduces computational time. The experimental results demonstrate that the proposed approach can be executed in real time.

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Development of a Color Stereo Head-Eye System with Vergence (눈동자 운동이 가능한 컬러 스테레오 머리-눈 시스템의 개발)

  • HwangBo, Myung;You, Bum-Jae;Oh, Sang-Rok;Lee, Jong-Won
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2370-2372
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    • 1998
  • Recently we have developed an active stereo head-eye system with vergence, name it KIST HECter(Head-Eye System with Colored Stero Vision), based on the analysis of human's neck and eye motion at visual behavior. Our HECter is a five degree-of-freedom system composed of pan and tilt motion in neck part and independent vergence motion of binocular cameras and commonly shared elevation axis in eye part. And stereo vision Provides two color image, which are processed by powerful each TMS32080 vision board. The shape and size are designed to be almost same as human face. The ability to vergence has significant importance and gives many beneficial merits. On its mechanical implementation we adapt a non-parallelogram 4-bar linkage mechanism since it provides high accuracy in transfering motion and enables compact and flexible design.

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A Stereo Vision-based Algorithm for the 3-Dimensional Inspection of a Crimped Terminal (압착단자의 3차원 검사를 위한 스테레오 비젼 알고리즘)

  • Lee, Moon-Kyu;Jang, Sang-Won
    • IE interfaces
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    • v.11 no.2
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    • pp.93-106
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    • 1998
  • This paper suggests a stereo vision-based algorithm for the 3-dimensional inspection of a crimped terminal. The crimped terminal is one of wire harness assemblies which transmit current or signals between a pair of electrical or electronic assemblies. Four types of nonconformities considered includes terminal rolling, band up/down, twist, and crimp height. To obtain stereo image correspondence, an algorithm using Hough transform is proposed. Coordinate transform is then applied to evaluate the degree of 3-dimensional nonconformities. The algorithm has been successfully tested on a number of real specimens collected from a wire harness factory. The test results show the feasibility of the proposed algorithm.

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A Study on the Optimization for Three Dimensional Reconstruction of Bio Surface Using by Stereo Vision (스테레오 비젼에 의한 생체표면 3차원 복원의 최적화 연구)

  • Lee, Kyungchai;Lee, Onseok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.107-113
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    • 2017
  • Unlike regular images, there is no ground truth for bio surface images. Result of biosurface imaging is not only significantly affected by the environment and the condition of the bio surface, it requires more detailed expression than regular images. Therefore, unlike algorithms tested on regular images, studies on bio surface images requires a highly precise optimization process. We aim to optimize the graph cut algorithm, known to be the most outstanding among the stereo visions, by considering baseline, lambda, and disparity range. Optimal results were in the range of 1~10 for lambda. The disparity ranged from -30 to -50, indicating an optimal value in a slightly higher range. Furthermore, we verified the tested optimization data using SIFT.

A study on the Measurement Algorithm for the Ball Height of BGA Device Using Stereo Vision (스테레오 비젼을 이용한 BGA 소자의 볼 높이 측정 알고리즘에 관한 연구)

  • Kim, Joon-Seek;Park, Young-Soon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.6
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    • pp.26-34
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    • 2006
  • In this paper, We proposed he algorithm for defect extraction and a study of the stereo image modeling o inspect defect for the ball height of BGA(ball grid way) device using 2-dimensional images captured by the BGA device of using the high resolution CCD cameras. This paper propose the package/ball area extraction of BGA device part, the FOV(field of view) calibration part, the top point matching part, and ball height measurement method. Each BGA device propose extraction method by defect, Through the experiment, we verified the result.

Surface Rendering using Stereo Images (스테레오 영상을 이용한 Surface Rendering)

  • Lee, S.J.;Yoon, S.W.;Cho, Y.B.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2818-2820
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    • 2001
  • This paper presents the method of 3D reconstruction of the depth information from the endoscopic stereo scopic images. After camera modeling to find camera parameters, we performed feature-point based stereo matching to find depth information. Acquired some depth information is finally 3D reconstructed using the NURBS(Non Uniform Rational B-Spline) algorithm. The final result image is helpful for the understanding of depth information visually.

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