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The Color Simulation Experiment for Measuring of Color Sensibility in Living Room

  • Lee, Jin-Sook;Shin, Eun-Young;Jang, So-Hyun
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.330-336
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    • 2000
  • A color is the most important of all factors that have influence on interior spaces, and plays an visually and psychologically important role in making interior environment. Thus, the aim of this study is to propose predictable color models by image types specially for color design in living room.This study was composed of three steps, and was carried out as follows.1) The evaluation experiment was carried out by color simulation using Color Image Processor. 2) Image types were extracted by factor analysis. 3) The characteristics of colors by image types were analysed by the multi regression and as a result the predictable color models by image types was determined.

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Fisheye Lens for Image Processing Applications

  • Kweon, Gyeong-Il;Choi, Young-Ho;Laikin, Milton
    • Journal of the Optical Society of Korea
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    • v.12 no.2
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    • pp.79-87
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    • 2008
  • We have developed a miniature fisheye lens with $190^{\circ}$ field of view operating simultaneously in the visible and the near infrared wavelengths. The modulation transfer function characteristic for the visible wavelength is sufficient for a mega-pixel-grade image sensor. The lens also has a fair resolution in the infrared wavelength region. The calibrated $f-{\theta}$ distortion is less than 5%, and the relative illumination is over 90%. In consequence, a sharp wide-angle image can be obtained which is uniform in brightness over the entire range of field angles. The real image heights for the visible and the near infrared wavelengths have been fitted to polynomial functions of incidence angle with sub-pixel accuracies. Combined with the near equidistance projection scheme of the lens, this lens can be advantageously employed in various image-processing applications requiring a wide-angle lens.

A Quantitative Method for Human Face Volume Using 3D Optical Measurement (3D 측정 기기를 이용한 얼굴의 부피 정량법 연구)

  • Park, Shin-Young;Nam,, Gae-Won;Kim, Seung-Hun;Lee, Hea-Kang;Ahn, Sung-Yeon;Moon, Seong-Joon;Kim, Han-Kon
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.34 no.4
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    • pp.333-338
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    • 2008
  • The evaluation for the visage volume was performed with human and dummy face using PRIMOS $body^{(R)}$. Three researchers measured the dummy face attached different volume of clay (6.6 mL, 13.2 mL, and 19.8 mL). It is identified that the high correlation between measured values and real volume ($R^2=0.99$). The percent (%) of relative standard deviation (RSD) of the data was shown below 10%. In Gage R&R analysis, the percent of contribution, the percent of study variation and distinct categories values were 0.78%, 8.85%, and 15% respectively. Therefore this method was regarded as the good standard condition in aspect of reproducibility and repetitiveness of data. The face volume variation was measured by PRIMOS $body^{(R)}$ on the face in participated 10 healthy Korean women volunteers. Subjects used the product once a day for two weeks as night sleeping pack. After application of the test products, the 3D image data of face were taken 1 and 2 weeks later. We found the face volume was significantly decreased after using products. In conclusion, this novel non-invasive technique was useful in measuring and visualizing alterations in face volume as a consequence of certain treatments. This system will provide a rapid and precise analysis of 3D topographical information for face.

A scene search method based on principal character identification using convolutional neural network (컨볼루셔널 뉴럴 네트워크를 이용한 주인공 식별 기반의 영상장면 탐색 기법)

  • Kwon, Myung-Kyu;Yang, Hyeong-Sik
    • Journal of Convergence for Information Technology
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    • v.7 no.2
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    • pp.31-36
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    • 2017
  • In this paper, we try to search and reproduce the image part of a specific cast from a large number of images. The conventional method must manually set the offset value when searching for a scene or viewing a corner. However, in this paper, the proposed method learns the main character 's face, then finds the main character in the image recognition and moves to the scene where the main character appears to reproduce the image. Data for specific performers is extracted and collected using crawl techniques. Based on the collected data, we learn using convolutional neural network algorithm and perform performance evaluation using it. The performance evaluation measures the accuracy by extracting and judging a specific performer learned in the extracted key frame while playing the drama. The performance confirmation of how quickly and accurately the learned scene is searched has obtained about 93% accuracy. Based on the derived performance, it is applied to the image service such as viewing, searching for person and detailed information retrieval per corner

Identification of Factors Affecting Errors of Velocity Calculation on Application of MLSPIV and Analysys of its Errors through Labortory Experiment (MLSPIV를 이용한 유속산정시 오차요인 규명 및 실내실험을 통한 유속산정오차 분석)

  • Kim, Young-Sung;Lee, Hyun-Seok
    • Journal of Korea Water Resources Association
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    • v.43 no.2
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    • pp.153-165
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    • 2010
  • Large-Scale Particle Image Velocimetry (LSPIV) is an extension of particle image velocimetry (PIV) for measurement of flows spanning large areas in laboratory or field conditions. LSPIV is composed of six elements - seeding, illumination, recording, image transformation, image processing, postprocessing - based on PIV. Possible error elements at each step of Mobile LSPIV (MLSPIV), which is a mobile version of LSPIV, in field applications are identified and summarized the effect of the errors which were quantified in the previous studies. The total number of elemental errors is 27, and five error sources were evaluated previously, seven elemental errors are not effective to the current MLSPIV system. Among 15 elemental errors, four errors - sampling time, image resolution, tracer, and wind - are investigated through an experiment at a laboratory to figure out how those errors affect to velocity calculation. The analysis to figure out the effect of the number of images used for image processing on the velocity calculation error shows that if over 50 images or more are used, the error due to it goes below 1 %. The effect of the image resolution on velocity calculation was investigated through various image resolution using digital camera. Low resolution image set made 3 % of velocity calculation error comparing with high resolution image set as a reference. For the effect of tracers and wind, the wind effect on tracer is decreasing remarkably with increasing the flume bulk velocity. To minimize the velocity evaluation error due to wind, tracers with high specific gravity is favorable.

A COMPUTATIONAL STUDY OF ESTIMATING AERO-OPTIC BORESIGHT ERROR FOR A HYPERSONIC FLIGHT VEHICLE (극초음속 비행체의 공기광학 조준오차 예측을 위한 전산해석 연구)

  • Lim, Seol;Chae, Hoon;Kim, Jongju
    • Journal of computational fluids engineering
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    • v.20 no.1
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    • pp.99-104
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    • 2015
  • Aero-optic phenomena cause the image position displacement on an imaging plane of the airborne optical/IR systems. Particularly, the aero-optic boresight error(BSE) is important factor for homing, positioning and aiming applications of hypersonic flight interceptor missile. In this paper, an estimating method of aero-optic BSE for a hypersonic flight vehicle is studied. A ray tracing method and a transform method of refractive index fields from flow density fields are combined with computational fluid dynamics(CFD) method.

A STUDY ON EDGE ADAPTIVE DEBLOCKING FILTER

  • Matsuo, Shohei;Takamura, Seishi;Yashima, Yoshiyuki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.830-833
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    • 2009
  • Deblocking Filter (DF) is newly introduced into H.264/AVC to remove blocky artifacts. It improves the picture quality and the improved picture is set to the frame buffer for motion compensation. As a result, higher coding efficiency is achieved by DF. However, if the original image has heavily-slanted patterns, DF removes the edges to be kept because it is applied only perpendicularly to the block boundaries. In this paper, we propose Edge Adaptive Deblocking Filter (EADF) which is applied not only for the perpendicular but also for several slanted directions to deal with the problem. Simulation results showed us that EADF was especially effective for the sequence "Foreman" with PSNR gain of 0.04 dB.

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Super-multiview windshield display for driving assistance

  • Urano, Yohei;Kashiwada, Shinji;Ando, Hiroshi;Nakamura, Koji;Takaki, Yasuhiro
    • Journal of Information Display
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    • v.12 no.1
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    • pp.43-46
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    • 2011
  • A three-dimensional windshield display (3D-WSD) can present driving information at the same depth as the objects in the outside scene. Herein, a super-multiview 3D-WSD is proposed because the super-multiview display technique provides smooth motion parallax. Motion parallax is the only physiological cue for perceiving the depth of a 3D image displayed at a far distance, which cannot be perceived by vergence and binocular parallax. A prototype system with 36 views was constructed, and the discontinuity of motion parallax and accuracy of depth perception were evaluated.

investigation of process parameter influence on 3D surface coloring (3 차원 표면의 컬러 인쇄를 위한 공정 변수 영향 분석에 관한 연구)

  • 송민섭;이상호;김효찬;양동열
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1390-1393
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    • 2004
  • In the present industry, three-dimensional colored shape has required for realistic prototype in rapid manufacturing. Z-corporation developed 3D printer which can color three-dimensional prototype but this process can't be adopted to other rapid prototype products and spend much time and cost coloring 3D shape. In this study a new coloring process on three-dimensional surface is proposed for realistic prototype. Three-dimensional surface coloring apparatus is composed of HP ink jet head and X-Y plotter. Distance and angle between ink jet nozzle and 3D surface are set as process parameter. Based on the experiment of process parameters, it is shown that distance and angle affected on printed image on 3D surface. Circle and line shape are chosen as standard image shape because the shape has widely used as standard in 2D printing. Consequently, the distorted image on 3D surface is corrected by transformed input image data.

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A Study on the Delayed Factors in Evacuation Behavior in the Case of Fire Accidents in Highway Tunnels (고속도로 터널 내 화재사고 발생 시 대피행동 지연 요인에 관한 연구)

  • Jae-Hwan, Cho
    • Journal of the Korea Safety Management & Science
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    • v.24 no.4
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    • pp.143-148
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    • 2022
  • This paper attempted to analyze the correlation between the risk image of the evacuees in the tunnel and the variables that affect the evacuation behavior due to the closed feeling. As to whether there is a difference in the level of recognizing the tunnel risk image according to the distribution of jobs, the null hypothesis was rejected at the significance probability of 0.002, so it can be said that the level of recognition of the tunnel risk image varies depending on the job group. In the distribution difference between gender and tunnel risk image recognition level, the significance probability was 0.012, indicating that the null hypothesis was rejected, indicating that the tunnel risk recognition distribution according to gender was different. As a result of analyzing the distribution difference between the tunnel's closed feeling and the tunnel risk perception level, the significance probability was 0.001, and the null hypothesis was rejected, indicating that there was a difference in the tunnel risk image level.