• Title/Summary/Keyword: Projective Image

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Moving Data Pictures (움직이는 데이터 그림)

  • Huh, Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.26 no.6
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    • pp.999-1007
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    • 2013
  • This research shows several types of moving pictures from the data: 1) the word cloud of Korean texts, 2) the heat map of n ${\times}$ p matrices, 3) the moving image of p ${\times}$ p scatterplot matrix, 4) the local projective display of k clusters (Huh and Lee, 2012). Moving pictures may reveal the hidden information and beauty of the datasets and ignite the curiosity of information consumers. Video files are attached.

Position Estimation of a Mobile Robot using Distance Error Weight Function (Distance Error Weight Function을 이용한 이동 로봇의 위치 추정 시스템의 설계)

  • Kho, Jee-Won;Park, Jae-Joon;Lee, Ki-Cheol;Park, Mig-Non
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3048-3050
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    • 1999
  • This paper suggests a position estimating algorithm using mono vision system with projective geometry method. Generally, 3-D information can not be easily extracted from mono vision system which is taken by a camera at a specific point. But this defect is overcome by adopting model-based image analysis and selecting lines and points on the ground as natural landmarks. And this paper suggests a method that estimates position from many natural landmarks by distance error weight function.

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Construction of 2D Image Mosaics Using Quasi-feature Point (유사 특징점을 이용한 모자이킹 영상의 구성)

  • Kim, Dae-Hyeon;Choe, Jong-Su
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.381-391
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    • 2001
  • This paper presents an efficient approach to build an image mosaics from image sequences. Unlike general panoramic stitching methods, which usually require some geometrical feature points or solve the iterative nonlinear equations, our algorithm can directly recover the 8-parameter planar perspective transforms. We use four quasi-feature points in order to compute the projective transform between two images. This feature is based on the graylevel distribution and defined in the overlap area between two images. Therefore the proposed algorithm can reduce the total amount of the computation. We also present an algorithm lot efficiently matching the correspondence of the extracted feature. The proposed algorithm is applied to various images to estimate its performance and. the simulation results present that our algorithm can find the correct correspondence and build an image mosaics.

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Automatic Geo-referencing of Sequential Drone Images Using Linear Features and Distinct Points (선형과 특징점을 이용한 연속적인 드론영상의 자동기하보정)

  • Choi, Han Seung;Kim, Eui Myoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.1
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    • pp.19-28
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    • 2019
  • Images captured by drone have the advantage of quickly constructing spatial information in small areas and are applied to fields that require quick decision making. If an image registration technique that can automatically register the drone image on the ortho-image with the ground coordinate system is applied, it can be used for various analyses. In this study, a methodology for geo-referencing of a single image and sequential images using drones was proposed even if they differ in spatio-temporal resolution using linear features and distinct points. Through the method using linear features, projective transformation parameters for the initial geo-referencing between images were determined, and then finally the geo-referencing of the image was performed through the template matching for distinct points that can be extracted from the images. Experimental results showed that the accuracy of the geo-referencing was high in an area where relief displacement of the terrain was not large. On the other hand, there were some errors in the quantitative aspect of the area where the change of the terrain was large. However, it was considered that the results of geo-referencing of the sequential images could be fully utilized for the qualitative analysis.

Interactive Projection by Closed-loop based Position Tracking of Projected Area for Portable Projector (이동 프로젝터 투사영역의 폐회로 기반 위치추적에 의한 인터랙티브 투사)

  • Park, Ji-Young;Rhee, Seon-Min;Kim, Myoung-Hee
    • Journal of KIISE:Software and Applications
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    • v.37 no.1
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    • pp.29-38
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    • 2010
  • We propose an interactive projection technique to display details of a large image in a high resolution and brightness by tracking a portable projector. A closed-loop based tracking method is presented to update the projected image while a user changes the position of the detail area by moving the portable projector. A marker is embedded in the large image to indicate the position to be occupied by the detail image projected by the portable projector. The marker is extracted in sequential images acquired by a camera attached to the portable projector. The marker position in the large display image is updated under a constraint that the center positions of marker and camera frame coincide in every camera frame. The image and projective transformation for warping are calculated using the marker position and shape in the camera frame. The marker's four corner points are determined by a four-step segmentation process which consists of camera image preprocessing based on HSI, edge extraction by Hough transformation, quadrangle test, and cross-ratio test. The interactive projection system implemented by the proposed method performs at about 24fps. In the user study, the overall feedback about the system usability was very high.

Coordinate Transform Method of Surface Image Velocimetry with a Calibrated Camera (보정된 카메라를 이용한 표면영상유속계의 좌표변환방법)

  • Yu, Kwon-Kyu;Jung, Beom-Seok;Yoon, Byung-Man
    • Journal of Korea Water Resources Association
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    • v.41 no.7
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    • pp.701-709
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    • 2008
  • Surface Image Velocimetry (SIV) is an instrument to measure water surface velocity by using image processing techniques. It gives us one of the easiest ways to measure water velocity. However, since it requires a set of plane survey data to estimate the velocity, it may give us some kind of misconcept that its usage would be difficult or cumbersome in spite of its handiness. If it has a feature that can estimate the plane survey data easily, it may be treated as like one of the conventional propeller velocimetries and its applicability would be improved so high. The present study is to propose a method to estimate the plane geometry of the physical coordinate with a calibrated camera. With the feature we can half-automatize the estimating procedure for the whole water velocity field. Photogrammetric technique to calculate the plane coordinates of the reference points with a calibrated camera was studied, which has originally studied for long time in the field of computer vision. By applying this technique to SIV, it is possible to estimate the location of reference coordinates for projective transform without plane survey. With this procedure the cumbersome plane survey for the reference points is omitted. One example application of the developed method showed fairly good results with insignificant errors.

Kim-Won Dental Clinic Interior Design (김원치과의원 실내디자인)

  • Choi, Sun-Hee
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2006.05a
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    • pp.99-100
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    • 2006
  • The concept of dental clinic have been changed along the advanced dental science to meet the need of setting up high-technology-digital appliances. As the general idea about the dental clinic has been changed from systematic connection, the expansion of zoning needs to become more accurate and mote detailed. In the spacious waiting room. the interment cafe has been established to supply the information services, and the various multi-imaged channels, which were built in, will relieve the boredom of the waiting time. The formation of water space leads to the effect of humidification and makes parents share visual and auditory sympathy All of the unit-chairs attached cameras in the consultation room enables people to diagnose more quickly and precisely through the computerized system. Partitions have been set of to put it in and to help diagnosis process to be done smoothly in the formational space. The whole atmosphere is intended to be harmony with the natural surroundings in Je-Ju. It will inspire people visiting this clinic to image the deep blue sea in Je-Ju. By using projective non-material a lot, especially material wooden windows and doors, it is believed to create the bright and stable atmosphere. It will lead patients feel comfortable.

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A Detection of New Vehicle License Plates Using Difference of Gaussian and Iterative Labeling (가우시안 차이와 반복 레이블링을 이용한 신형 차량번호판 검출)

  • Yeo, Jae-yun;Kim, Min-ha;Cha, Eui-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.78-81
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    • 2012
  • In this paper, we proposed the new vehicle license plates detection method which is available in a various fields, including vehicle access control, illegal parking and speeding vehicle crack down. First, we binarize an image by using difference of gaussian filter to find a sequence of numbers of plates. Second, we determine the plate region by labeling repeatedly using the morphological characteristics of the plates. Finally, we use a projective transformation for correcting the distortion that occurs because of the camera or the location of the vehicle.

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Using Spheroid Fish-eye Lens Distortion Correction for Image-based Virtual Environment Navigation (실사 가상환경 항해를 위해 Spheroid를 이용한 어안렌즈의 왜곡보정)

  • Shin Ju-Hong;Nam Dong-Hwan;Kwon Gi-Jun;Jung Soon Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.829-832
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    • 2004
  • 실제영상으로 가상환경을 구축해서 사용자가 가상환경을 돌아다님으로써 보다 큰 몰입감과 현실감을 제공하는 영상기반 가상현실 기술은 최근 들어 웹 기반 가상현실시스템을 구축하기 위해서 많이 사용된다. 이 기술은 가상환경 구축에 있어 항해를 쉽게 하기 위한 한 방법으로 넓은 시각 영역(field of view)을 얻을 수 있는 wide-angle 렌즈를 흔히 사용한다. 어안렌즈(fish-eye lens)는 전형적인 넓은 시각 영역을 가진 렌즈로서, 매우 큰 radial distortion 을 가진다. 왜곡을 없앤 영상을 얻기 위해 본 논문에서는 구면기하(spherical geometry) 및 사영기하(projective geometry)를 사용하여 어안영상을 보정하는 non-metric기법을 제안한다. 제안한 이 방법은, 기존의 방법들 보다는 쉽고 빠른 속도로 왜곡을 보정할 수 있으므로 어안영상의 왜곡을 보정하는 하드웨어를 효율적으로 구현할 수 있다. 그리고 spheroid 를 이용해 좀 더 왜곡을 정확히 보정방법과 별도의 서보 모터 없이 pan/title 를 가능케 하는 시점이동에 따른 왜곡 보정 방법을 제시한다.

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Real-time geometry identification of moving ships by computer vision techniques in bridge area

  • Li, Shunlong;Guo, Yapeng;Xu, Yang;Li, Zhonglong
    • Smart Structures and Systems
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    • v.23 no.4
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    • pp.359-371
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    • 2019
  • As part of a structural health monitoring system, the relative geometric relationship between a ship and bridge has been recognized as important for bridge authorities and ship owners to avoid ship-bridge collision. This study proposes a novel computer vision method for the real-time geometric parameter identification of moving ships based on a single shot multibox detector (SSD) by using transfer learning techniques and monocular vision. The identification framework consists of ship detection (coarse scale) and geometric parameter calculation (fine scale) modules. For the ship detection, the SSD, which is a deep learning algorithm, was employed and fine-tuned by ship image samples downloaded from the Internet to obtain the rectangle regions of interest in the coarse scale. Subsequently, for the geometric parameter calculation, an accurate ship contour is created using morphological operations within the saturation channel in hue, saturation, and value color space. Furthermore, a local coordinate system was constructed using projective geometry transformation to calculate the geometric parameters of ships, such as width, length, height, localization, and velocity. The application of the proposed method to in situ video images, obtained from cameras set on the girder of the Wuhan Yangtze River Bridge above the shipping channel, confirmed the efficiency, accuracy, and effectiveness of the proposed method.