• Title/Summary/Keyword: Image Tracing

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Radar Image Analysis for Detection of Shape of Voids in or under Concrete Slabs (레이다 탐사에 의한 소공동의 단면형상 복원방법에 관한 연구)

  • 박석균
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.791-796
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    • 1997
  • Deterioration of pavements or tunnels primarily from the existence of voids under the pavements or tunnel linings. To detect these voids effectively by non-destructive testes, a method using radar was proposed. In this research, the detection of shape of voids by radar image processing is investigate. The experiments and simulation were conducted to detect voids in or under concrete pavements for tunnel linings) with reinforcing bars. From the results, the fundamental algorithm for tracing the voids, improving the horizontal resolution of the object image and detecting shape of objects, was verified.

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Analysis of Optical Characteristics of Oil Immersion Lens in Aqueous Environment (액상유체 오일 이멀전 렌즈의 광학 물성치 해석)

  • Choi, Hae Woon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.11
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    • pp.18-23
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    • 2019
  • The oil immersion method can be used to create objective lenses with long working distances without sacrificing the focusing resolution for laser processing. In this study, a space in which air or oil can be filled was formed in the middle of a lens for analyzing the optical properties of a liquid-oil immersion lens. As the refractive media, air and oils of different refractive index values (1.2 and 1.5, respectively) were used. A simulation was conducted in the ZEMAX software environment using the ray-tracing technique, and the performance of the oil immersion lens was verified by determining its image distortion and focal length (FL) in each medium. In the case of air, the calculated FL was 0.813 mm, whereas the imaged FLs were 1.594 mm and 8.126 mm when the refraction indices were 1.2 and 1.5, respectively. The FL of an oil immersion lens could be increased considerably. In terms of image distortion, the oil immersion lens exhibited little distortion at the center in all cases, but different degrees of image distortion were observed at different points away from the center depending on the refraction index degree.

3D Analysis of Scene and Light Environment Reconstruction for Image Synthesis (영상합성을 위한 3D 공간 해석 및 조명환경의 재구성)

  • Hwang, Yong-Ho;Hong, Hyun-Ki
    • Journal of Korea Game Society
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    • v.6 no.2
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    • pp.45-50
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    • 2006
  • In order to generate a photo-realistic synthesized image, we should reconstruct light environment by 3D analysis of scene. This paper presents a novel method for identifying the positions and characteristics of the lights-the global and local lights-in the real image, which are used to illuminate the synthetic objects. First, we generate High Dynamic Range(HDR) radiance map from omni-directional images taken by a digital camera with a fisheye lens. Then, the positions of the camera and light sources in the scene are identified automatically from the correspondences between images without a priori camera calibration. Types of the light sources are classified according to whether they illuminate the whole scene, and then we reconstruct 3D illumination environment. Experimental results showed that the proposed method with distributed ray tracing makes it possible to achieve photo-realistic image synthesis. It is expected that animators and lighting experts for the film and animation industry would benefit highly from it.

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Wide Field-of-View Imaging Using a Combined Hyperbolic Mirror

  • Yi, Sooyeong;Ko, Youngjun
    • Current Optics and Photonics
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    • v.1 no.4
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    • pp.336-343
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    • 2017
  • A wide field-of-view (FOV) image contains more visual information than a conventional image. This study proposes a new type of hyperbolic mirror for wide FOV image acquisition. The proposed mirror consists of a hyperbolic cylindrical section and a bowl-shaped hyperbolic omnidirectional section. Using an imaging system with this mirror, it is possible to achieve a $213.8^{\circ}$ horizontal and a $126.94^{\circ}$ vertical maximum FOV. Parameters of each section of the mirror are designed to be continuous at the junction of the two parts, and the resultant image is seamless. The image-acquisition model is obtained using ray-tracing optics. To rectify the geometrical distortion of the original image due to the mirror, an image-restoration algorithm based on conformal projection is presented in this study. The performance of the proposed imaging system with the hyperbolic mirror and its image-restoration algorithm are verified by experiments.

Wide FOV Panorama Image Acquisition Method (광각 파노라마 영상획득 방법)

  • Kim, Soon-Cheol;Yi, Soo-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2117-2122
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    • 2015
  • Wide FOV(Field-of-View) is required to contain much more visual information in a single image. The wide FOV imaging system has many industrial applications such as surveillance, security, tele-conference, and mobile robots. In order to obtain a wide FOV panorama image, an imaging system with hyperbolic cylinder mirror is proposed in this paper. Because the horizontal FOV is more important than the vertical FOV in general, a hyperbolic cylinder mirror is designed in this paper, that has a hyperbolic curve in the horizontal surface and is the same as a planar mirror in the vertical axis. Imaging model of the proposed imaging system is presented by ray tracing method and the hyperbolic cylinder mirror is implemented. The imaging performance of wide FOV is verified by experiments in this paper. This imaging system is cost-effective and is possible to acquire a wide panorama image having 210 degree horizontal FOV in real-time without an extra image processing.

Elementary School Teachers' Understanding of Image (상에 대한 초등학교 교사들의 이해)

  • Kwon, Gyeong-Pil
    • Journal of Korean Elementary Science Education
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    • v.32 no.4
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    • pp.527-534
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    • 2013
  • This study investigated elementary school teachers' understanding of the image formation by converging lens, pinholes camera, mirror and water. In each case teachers were asked to draw the ray diagram to indicate the position of the image. Teachers' ray diagrams were analyzed in accordance with the scientific process of image formation. Results of analysis showed that teacher's conceptions were classified into five levels for each situation. And most of the teachers were in level 3 and level 4 in each case. Because they had difficulties in the appling scientific conception(propagating path of light, diffused reflection from each object point, role of the eye, ray tracing) to finding location of image. Also most of teachers didn't know how to apply the law of reflection and refraction to each situation. The study finally discussed the teacher training program of the optical image.

DEM Estimation Using Two Stage Stereo Matching Method (2단계 스테레오 정합기법을 이용한 DEM 추정)

  • Nam, Chang-Woo;Woo, Dong-Min
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3044-3046
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    • 2000
  • A Stereo matching has been an important tool for reconstructing three dimensional terrain. In this stereo matching process, DEM(Digitai Elevation Map) can be generated by the disparity from reference image to target image. Generally disparity map in matching process can be implemented by wraping from reference image to target image and if the role of reference and target is interchanged, the different DEM can be obtained. To evaluate the generated DEM from matching process, We adapted the Photorealistic synthetic image generator using ray tracing technique. The generator produce two simulated image from previous DEM and Ortho-image which is regard as Ground-truth. In this paper, we are concern about estimating more accurate DEM from these two DEMs. The several fusion methods of two DEMs are proposed to generate accurate DEM and compared with previous method. one of fusion methods is by using Cross-Correlation match score and the true DEM should have a high matching score.

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Facial Region Tracking by Infra-red and CCD Color Image (CCD 컬러 영상과 적외선 영상을 이용한 얼굴 영역 검출)

  • Yoon, T.H.;Kim, K.S.;Han, M.H.;Shin, S.W.;Kim, I.Y.
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.60-62
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    • 2005
  • In this study, the automatic tracking algorithm tracing a human face is proposed by using YCbCr color coordinated information and its thermal properties expressed in terms of thermal indexes in an infra-red image. The facial candidates are separately estimated in CbCr color and infra-red domain, respectively with applying the morphological image processing operations and the geometrical shape measures for fitting the elliptical features of a human face. The identification of a true face is accomplished by logical 'AND' operation between the refined image in CbCr color and infra-red domain.

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Facial Region Tracking by Utilizing Infra-Red and CCD Color Image (CCD 컬러 영상과 적외선 영상을 이용한 얼굴 영역 검출)

  • Kim K. S.;Lee J. W.;Yoon T. H.;Han M. H.;Shin S. W.;Kim I. Y.;Song C. G.
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.9
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    • pp.577-579
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    • 2005
  • In this study, the automatic tracking algorithm tracing a human face is proposed by using YCbCr color coordinated information and its thermal properties expressed in terms of thermal indexes in an infra-red image. The facial candidates are separately estimated in CbCr color and infra-red domain, respectively with applying the morphological image processing operations and the geometrical shape measures for fitting the elliptical features of a human face. The identification of a true face is accomplished by logical 'AND' operation between the refined image in CbCr color and infra-red domain.

The Application of Dyadic Wavelet In the RS Image Edge Detection

  • Qiming, Qin;Wenjun, Wang;Sijin, Chen
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1268-1271
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    • 2003
  • In the edge detection of RS image, the useful detail losing and the spurious edge often appear. To solve the problem, we use the dyadic wavelet to detect the edge of surface features by combining the edge detecting with the multi-resolution analyzing of the wavelet transform. Via the dyadic wavelet decomposing, we obtain the RS image of a certain appropriate scale, and figure out the edge data of the plane and the upright directions respectively, then work out the grads vector module of the surface features, at last by tracing them we get the edge data of the object therefore build the RS image which obtains the checked edge. This method can depress the effect of noise and examine exactly the edge data of the object by rule and line. With an experiment of a RS image which obtains an airport, we certificate the feasibility of the application of dyadic wavelet in the object edge detection.

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