• Title/Summary/Keyword: stereo disparity

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A New Stereo Matching Algorithm Using Distribution of Match Values in Disparity Space (변위 공간상의 정합값 분포를 이용한 새로운 스테레오 정합 알고리즘)

  • 김재철;이경무;이상욱
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.661-664
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    • 2001
  • 본 논문에서는 영상을 특성에 따라 국부 영역으로 분류하고 변위 공간(disparity space)상에서의 특징을 분석하여 각각의 영역에 적합한 윈도우의 크기를 정하는 새로운 스테레오 정합 기법을 제안한다. 일반적으로 텍스쳐(texture)가 적은 영역이나 텍스쳐가 반복되는 영역, 그리고 깊이의 불연속선상에서는 고정된 크기의 윈도우를 사용하는 영역 기반 스테레오 기법은 잘 동작하지 않는다. 본 논문에서는 이러한 영역들의 변위 공간상에서의 정합 값 분포를 분석하여 스테레오 정합에 이용한다. 실험은 변위의 참값이 알려진 영상에 대해서 수행되었으며 기존의 방법에 비해 짧은 수행 시간 및 정확한 정합 결과를 보여 준다.

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A New Control Model for Vergence Movement on a Stereo Head-Eye Robot (스테레오 헤드아이 로봇의 버전스 눈운동을 위한 새로운 제어 모델)

  • 김희정;유명현;이성환
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.547-549
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    • 2000
  • 버전스 눈동자 운동은 사람과 스테레오 시각을 가진 척추동물로 하여금 양안에 의해 응시점이 맞추어진 관심있는 물체까지의 떨어진 거리를 인식할 수 있도록 해준다. 이러한 버전스 눈동자 운동을 양안 헤드아이 로봇에 구현하기 위해서, 우리는 disparity flow와 flux를 이용하는 제어 모델을 개발하였다. 실험 및 결과 분석은 본 모델이 다양한 환경에서의 버전스 눈동자 운동을 효율적으로 제어할 수 있음을 보여준다. 인식-행동 주기가 실시간 프레임율에 근접하게 되면, disparity flow와 flux의 정확도는 증가되고 헤드아이 로봇의 버전스 눈운동을 더욱 정밀하게 제어하는 것이 가능해질 것이다.

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Hypostereoscopic condition in mobile stereoscopy

  • Lee, Kwang-Hoon;Kim, Dong-Wook;Kwon, Yong-Moo;Hur, Nam-Ho;Kim, Sung-Kyu
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1103-1106
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    • 2009
  • In this paper, we investigated the properties of hypostereoscopic condition in mobile circumstance and simulated the main factors to embody an effective presence to the reconstructed depth image, which are both the limited disparity for fusible stereo and the object space possible for quantifying.

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Dynamic Programming-based Stereo Matching Using Image Segmentation (영상 분할을 이용한 다이내믹 프로그래밍 기반의 스테레오 정합)

  • Seo, Yong-Seok;Yoo, Ji-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.8C
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    • pp.680-688
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    • 2010
  • In this paper, we present a dynamic programming(DP)-based stereo matching method using image segmentation algorithm. DP has been a classical and popular optimization method for various computer vision problems including stereo matching. However, the performance of conventional DP has not been satisfactory when it is applied to the stereo matching since the vertical correlation between scanned lines has not been properly considered. In the proposed algorithm, accurate edge information is first obtained from segmented image information then we considers the discontinuity of disparity and occlusions region based on the obtained edge information. The experimental results applied to the Middlebury stereo images demonstrate that the proposed algorithm has better performances in stereo matching than the previous DP based algorithms.

Distance measurement using stereo camera and 3D implementation with 3D display devices

  • Song, Hyok;Bae, Jin-Woo;Choi, Jong-Soo;Choi, Byeong-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1504-1507
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    • 2007
  • Depth data for is very important data for 3D display. Disparity and depth data makes users to feel 3D effect. We used stereo camera to measure depth and made fast algorithm to get in real time. This vision system can be substituted for expensive laser system.

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Efficient Data Representation of Stereo Images Using Edge-based Mesh Optimization (윤곽선 기반 메쉬 최적화를 이용한 효율적인 스테레오 영상 데이터 표현)

  • Park, Il-Kwon;Byun, Hye-Ran
    • Journal of Broadcast Engineering
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    • v.14 no.3
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    • pp.322-331
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    • 2009
  • This paper proposes an efficient data representation of stereo images using edge-based mesh optimization. Mash-based two dimensional warping for stereo images mainly depends on the performance of a node selection and a disparity estimation of selected nodes. Therefore, the proposed method first of all constructs the feature map which consists of both strong edges and boundary lines of objects for node selection and then generates a grid-based mesh structure using initial nodes. The displacement of each nodal position is iteratively estimated by minimizing the predicted errors between target image and predicted image after two dimensional warping for local area. Generally, iterative two dimensional warping for optimized nodal position required a high time complexity. To overcome this problem, we assume that input stereo images are only horizontal disparity and that optimal nodal position is located on the edge include object boundary lines. Therefore, proposed iterative warping method performs searching process to find optimal nodal position only on edge lines along the horizontal lines. In the experiments, we compare our proposed method with the other mesh-based methods with respect to the quality by using Peak Signal to Noise Ratio (PSNR) according to the number of nodes. Furthermore, computational complexity for an optimal mesh generation is also estimated. Therefore, we have the results that our proposed method provides an efficient stereo image representation not only fast optimal mesh generation but also decreasing of quality deterioration in spite of a small number of nodes through our experiments.

A Study on Vehicle Extraction and Tracking Using Stereo (스테레오 기법을 이용한 차량의 검출 및 추적에 관한 연구)

  • Yoon, Sei-Jin;Woo, Dong-Min;Kong, Gil-Young
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.12
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    • pp.651-658
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    • 2000
  • This paper presents a new method to extract traffic information such as number of passing vehicles and average speed by a pair of stereo road images. The whole process consists of the extraction of vehicles and the tracking of the extracted vehicles. For the extraction of vehicles, the outline of each vehicle is obtained by using binary region growing technique applied to disparity map based on multi-resolution stereo matching. The Kalman filter tracking algorithm is applied to the extracted vehicle outlines to determine the flow of vehicles. Experimental results show that the proposed method significantly improved recognition rate of vehicles over the conventional methods-frame difference and background elimination methods.

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Implementation of Transformation Algorithm for a Leg-wheel Hexapod Robot Using Stereo Vision (스테레오 영상처리를 이용한 바퀴달린 6족 로봇의 형태변형 알고리즘 구현)

  • Lee, Sang-Hun;Kim, Jin-Geol
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.202-204
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    • 2006
  • In this paper, the detection scheme of the spatial coordinates based on stereo camera for a Transformation algorithm of an Leg-wheel Hexapod Robot is proposed. Robot designed as can have advantages that do transfer possibility fast mobility in flat topography and uneven topography through walk that use wheel drive. In the proposed system, using the disparity data obtained from the left and right images captured by the stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth information can be detected. Robot uses construed environmental data and transformation algorithm, decide wheel drive and leg waik, and can calculate width of street and regulate width of robot.

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VHOE-based Multi-view Stereoscopic 3D Display System (VHOE광학판을 이용한 다시점 스테레오 입체영상 디스플레이 시스템)

  • Cho, Byung-Chul;Koo, Jung-Sik;Kim, Seung-Cheol;Kim, Eun-Soo
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.04b
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    • pp.42-44
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    • 2002
  • The experimental model of the 8-view stereoscopic display system using the photopolymer-based VHOE is proposed. At first, the VHOE is implemented by angle-multiplexed recording of 8-view's diffraction gratings using the optimized exposure-time scheduling scheme in the photopolymer (HRF-150-100) and then. the VHOE-based 8-view stereoscopic display system is implemented by sequentially synchronizing the incident angles of the reference beam of the VHOE with the 8-view stereo images on the LCD pannel. Accordingly, from some experimental results using 8-view images generated by the toed-in stereo camera system, it is found that 8-view stereo images can be diffracted to eight different directions time-sequentially and there is some disparity between the stereo images.

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Development of a Robot arm capable of recognizing 3-D object using stereo vision

  • Kim, Sungjin;Park, Seungjun;Park, Hongphyo;Sangchul Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.128.6-128
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    • 2001
  • In this paper, we present a methodology of sensing and control for a robot system designed to be capable of grasping an object and moving it to target point Stereo vision system is employed to determine to depth map which represents the distance from the camera. In stereo vision system we have used a center-referenced projection to represent the discrete match space for stereo correspondence. This center-referenced disparity space contains new occlusion points in addition to the match points which we exploit to create a concise representation of correspondence an occlusion. And from the depth map we find the target object´s pose and position in 3-D space. To find the target object´s pose and position, we use the method of the model-based recognition.

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