• Title/Summary/Keyword: multi-camera system

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A Study on the Multiple Texture Rendering System for 3D Image Signal Recognition (3차원 영상인식을 위한 다중영상매핑 시스템에 대한 연구)

  • Kim, Sangjune;Park, Chunseok
    • Journal of the Society of Disaster Information
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    • v.12 no.1
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    • pp.47-53
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    • 2016
  • Techniques to be developed in this study is intended to apply to an existing integrated control system to "A Study on the multiple Texture Rendering system for three-dimensional Image Signal Recognition" technology or become a center of the building control system in real time video. so, If the study plan multi-image mapping system developed, CCTV camera technology and network technology alone that is, will be a number of security do not have to build a linked system personnel provide services that control while the actual patrol, the other if necessary systems and linked to will develop a system that can reflect the intention Ranger.

A method of improving the quality of 3D images acquired from RGB-depth camera (깊이 영상 카메라로부터 획득된 3D 영상의 품질 향상 방법)

  • Park, Byung-Seo;Kim, Dong-Wook;Seo, Young-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.637-644
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    • 2021
  • In general, in the fields of computer vision, robotics, and augmented reality, the importance of 3D space and 3D object detection and recognition technology has emerged. In particular, since it is possible to acquire RGB images and depth images in real time through an image sensor using Microsoft Kinect method, many changes have been made to object detection, tracking and recognition studies. In this paper, we propose a method to improve the quality of 3D reconstructed images by processing images acquired through a depth-based (RGB-Depth) camera on a multi-view camera system. In this paper, a method of removing noise outside an object by applying a mask acquired from a color image and a method of applying a combined filtering operation to obtain the difference in depth information between pixels inside the object is proposed. Through each experiment result, it was confirmed that the proposed method can effectively remove noise and improve the quality of 3D reconstructed image.

Multi-spectral Imaging-based Color Image Reconstruction Using the Conventional Bayer CFA (베이어 CFA 카메라를 사용한 다중 스펙트럼 기반 컬러영상 생성 기술)

  • Shin, Jeong-Ho
    • Journal of Broadcast Engineering
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    • v.16 no.3
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    • pp.561-565
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    • 2011
  • This paper presents an imaging system for reconstruction of enhanced color images using the conventional Bayer CFA. By extracting various colors such as RGBCY from two sequential images which consist of a image by broadband G channel lens filter and the other image captured without one, the proposed color image reconstruction system can reduce the computational complexity for demosaicking and make high resolution color information without aliasing artifacts. Because the proposed system uses the common Bayer CFA image sensor, fabricating a new type of CFA is not necessary for obtaining a multi-spectral image, which can be easily extensible for applications of multi-spectral imaging. Finally, in order to verify the performance of the proposed system, experimental results are performed. By comparing with the existing demosaicking methods, the proposed camera system showed the significant improvements in the sense of color resolution.

On Production System by One-Person Production System in Broadcasting Program Production (방송프로그램제작에 있어 1인 제작시스템 변화)

  • Lee, Jong-Tak;Kwak, Hoon-Sung
    • The Journal of the Korea Contents Association
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    • v.7 no.8
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    • pp.117-124
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    • 2007
  • The one-person producing system is that planning program, arrangements, composition, taking pictures and edition are all done by only one person. In the reality of the producing systems of the broadcasting programs, as the number of the broadcasting stations, which apply one-person producing systems, is gradually increasing, the study on the change is going on. In this study I grasped the merits and demerits of both systems ; multi men producing system and one-person producing system. And then I analyzed the sudden change of the method of the producing programs into one using the 6m digital camera. The merits of producing programs by means of the 6m digital cameras are following ; the mobility of producing programs, a close contact with the source, the enlargement of the diversity of the contents and cutting down expenses. The demerits of it are following ; a lowering of the degree of completion and the unstableness of an image. Nowadays because of the enlargement of the rate of the outsourcing production, the number of the independent production studios rapidly increased. From the viewpoint of cutting down expenses and the diversity of contents, the number of broadcasting programs produced by means of one-person producing broadcasting program system is increasing.

A study on the rigid bOdy placement task of robot system based on the computer vision system (컴퓨터 비젼시스템을 이용한 로봇시스템의 강체 배치 실험에 대한 연구)

  • 장완식;유창규;신광수;김호윤
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1114-1119
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    • 1995
  • This paper presents the development of estimation model and control method based on the new computer vision. This proposed control method is accomplished using a sequential estimation scheme that permits placement of the rigid body in each of the two-dimensional image planes of monitoring cameras. Estimation model with six parameters is developed based on a model that generalizes known 4-axis scara robot kinematics to accommodate unknown relative camera position and orientation, etc. Based on the estimated parameters,depending on each camers the joint angle of robot is estimated by the iteration method. The method is tested experimentally in two ways, the estimation model test and a three-dimensional rigid body placement task. Three results show that control scheme used is precise and robust. This feature can open the door to a range of application of multi-axis robot such as assembly and welding.

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RELIABILITY ANALYSIS OF THE MSC SYSTEM

  • Kim, Young-Soo;Lee, Do-Kyoung;Lee, Chang-Ho;Woo, Sun-Hee
    • Journal of Astronomy and Space Sciences
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    • v.20 no.3
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    • pp.217-226
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    • 2003
  • MSC (Multi-Spectral Camera) is the payload of KOMPSAT-2, which is being developed for earth imaging in optical and near-infrared region. The design of the MSC is completed and its reliability has been assessed from part level to the MSC system level. The reliability was analyzed in worst case and the analysis results showed that the value complies the required value of 0.9. In this paper, a calculation method of reliability for the MSC system is described, and assessment result is presented and discussed.

Development of a Measurement System for Curved Ship Hull Plates with Multi-Slit Structured Light (다중 슬릿 구조화 광원을 이용한 곡판 측정장치 개발)

  • Lee, Hyunho;Lee, Don Jin;Huh, Man Joo
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.3
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    • pp.292-299
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    • 2013
  • The measurement in the manufacturing process of curved ship hull plates still depends on wooden templates as a standard instrument. The metrology-enabled automation in the shipbuilding process has been challenged instead of line measurement with wooden templates. The developed measurement system consists of a CCD camera, multiple structured laser sources and 3-DOF motion device. The system carries out measurement of curved profiles for large scale plates by an optical triangulation method. The results of experiment conducted in a manufacturing shop demonstrate the accurate and robust performance.

Road Recognition based Extended Kalman Filter with Multi-Camera and LRF (다중카메라와 레이저스캐너를 이용한 확장칼만필터 기반의 노면인식방법)

  • Byun, Jae-Min;Cho, Yong-Suk;Kim, Sung-Hoon
    • The Journal of Korea Robotics Society
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    • v.6 no.2
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    • pp.182-188
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    • 2011
  • This paper describes a method of road tracking by using a vision and laser with extracting road boundary (road lane and curb) for navigation of intelligent transport robot in structured road environments. Road boundary information plays a major role in developing such intelligent robot. For global navigation, we use a global positioning system achieved by means of a global planner and local navigation accomplished with recognizing road lane and curb which is road boundary on the road and estimating the location of lane and curb from the current robot with EKF(Extended Kalman Filter) algorithm in the road assumed that it has prior information. The complete system has been tested on the electronic vehicles which is equipped with cameras, lasers, GPS. Experimental results are presented to demonstrate the effectiveness of the combined laser and vision system by our approach for detecting the curb of road and lane boundary detection.

Speeding up the KLT Tracker for Realtime Image Georeferencing (실시간 영상 지오레퍼런싱을 위한 KLT 트랙커의 속도개선)

  • Supannee, Tanathong;Lee, Im-Pyeong
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.77-80
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    • 2010
  • The demand for human security significantly promotes the development of surveillance applications using a multi-sensor integrated UAV system. For more sophisticated operations, the system should provide a sequence of images rectified in a ground coordinate system in realtime. This rectification requires accurate position and attitude of the camera at the time of exposure of each image, which can be estimated through an Aerial Triangulation process using the GPS/INS data and tie points between adjacent images. In this work, the KLT tracker is utilized to obtain the tie points. To satisfy the realtime requirements, we present an approach to speed up the tracker by supplying the initial guessed positions of tie points based on the exterior orientation. The experimental results show that, when the guessed positions are supplied, the KLT tracker consumed less computational time than the ordinary KLT which is more suitable to be incorporated into the realtime image georeferencing process.

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Morphological Variation Classification of Red Blood Cells using Neural Network Model in the Peripheral Blood Images (말초혈액영상에서 신경망 모델을 이용한 적혈구의 형태학적 변이 분류)

  • Kim, Gyeong-Su;Kim, Pan-Gu
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.10
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    • pp.2707-2715
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    • 1999
  • Recently, there have been researches to automate processing and analysing images in the medical field using image processing technique, a fast communication network, and high performance hardware. In this paper, we propose a system to be able to analyze morphological abnormality of red-blood cells for peripheral blood image using image processing techniques. To do this, we segment red-blood cells in the blood image acquired from microscope with CCD camera and then extract UNL fourier features to classify them into 15 classes. We reduce the number of multi-variate features using PCA to construct a more efficient classifier. Our system has the best performance in recognition rate, compared with two other algorithms, LVQ3 and k-NN. So, we show that it can be applied to a pathological guided system.

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