• Title/Summary/Keyword: camera image

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Object Recognition Face Detection With 3D Imaging Parameters A Research on Measurement Technology (3D영상 객체인식을 통한 얼굴검출 파라미터 측정기술에 대한 연구)

  • Choi, Byung-Kwan;Moon, Nam-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.10
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    • pp.53-62
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    • 2011
  • In this paper, high-tech IT Convergence, to the development of complex technology, special technology, video object recognition technology was considered only as a smart - phone technology with the development of personal portable terminal has been developed crossroads. Technology-based detection of 3D face recognition technology that recognizes objects detected through the intelligent video recognition technology has been evolving technologies based on image recognition, face detection technology with through the development speed is booming. In this paper, based on human face recognition technology to detect the object recognition image processing technology is applied through the face recognition technology applied to the IP camera is the party of the mouth, and allowed the ability to identify and apply the human face recognition, measurement techniques applied research is suggested. Study plan: 1) face model based face tracking technology was developed and applied 2) algorithm developed by PC-based measurement of human perception through the CPU load in the face value of their basic parameters can be tracked, and 3) bilateral distance and the angle of gaze can be tracked in real time, proved effective.

Quantification of Granite Deformation of Pocheon-Gisanri Area Using Wavy Extinction of Quartz Grain (석영의 파동소광을 이용한 포천-기산리 일대의 화강암 변형의 정량화)

  • 정원석;윤현수;나기창
    • The Journal of the Petrological Society of Korea
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    • v.12 no.3
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    • pp.101-109
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    • 2003
  • The wavy extinction of quartz can be used as a standard indicator showing the degree of rock deformation. In determine the degree of rock deformation, the intensity of wavy extinction (IWE) of quartz was measured using polarizing microscope, digital camera, and NIH Image program. This method was applied to the granite of Pocheon-Gisanri area, which are divided three type; biotite granite (Gb), garnet biotite granite (Ggb) and two mica granite (Gtm). In this study, measurement of wavy extinction was proceeded Ggb in eastern part and Gb in western part based on the Pocheoneup. The result was that Gb shows low deformation degree below D2, and Ggb represents high deformation degree above D3, generally showing that increasing deformation degree from northwest to southeast in the studied area. It is suggested that the fault which penetrated Ggb in 1/250,000 geological map affected the deformation degree of Ggb.

A Study of the Strain Measurement for Al 6061-T6 Tensile Specimen using the Digital Image Correlation (디지털 이미지 상관관계를 이용한 Al 6061-T6 인장시험편의 변형률 측정에 관한 연구)

  • Kwon, Oh Heon;Kim, Sang Tae;Kang, Ji Woong
    • Journal of the Korean Society of Safety
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    • v.28 no.4
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    • pp.26-32
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    • 2013
  • A digital image correlation(DIC) method is a whole-field measurement technique that acquires surface displacements and strains from images information which characterized a random speckle as intensity grey levels. Recently years, this DIC method is being developed and used increasingly in various research. In this study, we tried to apply to aluminum alloy(Al 6061-T6) using DIC method and strain gauge. DIC results demonstrated the usefulness and ability to determine a strain. The test specimen used in this study was an aluminum alloy(Al 6061-T6, thickness 1 mm). For a strain measurement, a strain gauge was attached at the center of a specimen. A specimen was lightly sprayed with a white paint and a black dot pattern was sprayed on its fully dried white surface to obtain a random speckle. The experimental apparatus used to perform the tensile test consisted of universal dynamic tester(5 kN; T.O. Co.) under displacement speed of 0.5, 1.0 and 3.0 mm/min. A Model 5100 B Scanner(V. Co.) used to obtain a strain. A CCD camera connected to a PC uses to record the images of the specimen surface. After acquisition, the images were transferred to PC where the DIC software was implemented. An acquired image was evaluated by the DIC program. DIC method for displacement and strain was suggests and it results show a good consistent remarkably. DIC results demonstrated the usefulness and ability to determine surface strain was better than by using classical measurements. The strain field measurement using a DIC is so useful that it can be applied to map strain distributions at a full area. DIC method can evaluate a strain change so it can predict a location of fracture. The findings of the investigation suggest that the DIC method is an efficient and reliable tool for full-field monitoring and detailed damage characterization of materials.

Development of Dental Image Management System based on Mobile Computing (모바일환경에서의 치과환자 구강영상 관리체계 개발)

  • Oh, Seon-Mi
    • The Journal of the Korea Contents Association
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    • v.12 no.1
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    • pp.379-385
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    • 2012
  • The purpose of this study is to propose that co-working plan with patient information service system for dental clinic and dental lab using smart phone system which is recently spread to. For this purpose, we introduced latest mobile S/W development environment. And design key features of patient information service system based on mobile platform(Android) by user interface design. In fact, we have applied this system(mobile system) to dental clinic and dental lab, we have following results: 1.There were significant possibility in dental utilization of smart phone based on latest ICT(Information & Communication Technology) technology. 2. Improve conventional method of image upload by connecting digital camera to the server computer using USB port. 3. Reduce error of image management by direct upload to server computer from smart phone. 4. Improve process of making prosthetic appliance by displaying dental image on smart phone in dental lab.

Development of Structure Dynamic Characteristics Analysis System Prototype using Image Processing Technique (영상처리기법을 이용한 구조물 동특성 분석 시스템 프로토타입 개발)

  • Jo, Byung-Wan;Lee, Yun-Sung;Kim, Jung-Hoon;Kim, Do-Keun;Yoon, Kwang-Won
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.11-21
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    • 2016
  • Recently, structure safety management techniques using cutting-edge technology(Displacement senor, sensor of acceleration) has emerged as an important issue owing to the aging of infrastructure such as bridge and building. In general, the structural monitoring system for structure safety management is based on IT technology and it is expensive to install. In this paper developed an image-based structure dynamic characteristic analysis system prototype to assess the damage of structure in a more cost-effective way than traditional structure health monitoring system. The inspector can take a video of buildings or other structures with digital camera or any other devices that is passible to take video, and then using NCC calculation for image processing technique to get natural frequency. This system is analysis of damage of the structure using a compare between the frequency response ratio and functions when problems are occurs send alarm to administrator. This system is easier to install and remove than previous monitoring sensor in economical way.

3D Shape Reconstruction of Non-Lambertian Surface (Non-Lambertian면의 형상복원)

  • 김태은;이말례
    • Journal of Korea Multimedia Society
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    • v.1 no.1
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    • pp.26-36
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    • 1998
  • It is very important study field in computer vision 'How we obtain 3D information from 2D image'. For this purpose, we must know position of camera, direction of light source, and surface reflectance property before we take the image, which are intrinsic information of the object in the scene. Among them, surface reflectance property presents very important clues. Most previous researches assume that objects have only Lambertian reflectance, but many real world objects have Non-Lambertian reflectance property. In this paper the new method for analyzing the properties of surface reflectance and reconstructing the shape of object through estimation of reflectance parameters is proposed. We have interest in Non-Lambertian reflectance surface that has specular reflection and diffuse reflection which can be explained by Torrance-Sparrow model. Photometric matching method proposed in this paper is robust method because it match reference image and object image considering the neighbor brightness distribution. Also in this thesis, the neural network based shaped reconstruction method is proposed, which can be performed in the absence of reflectance information. When brightness obtained by each light is inputted, neural network is trained by surface normal and can determine the surface shape of object.

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Visibility Enhancement of Underwater Stereo Images Using Depth Image (깊이 영상을 이용한 수중 스테레오 영상의 가시성 개선)

  • Shin, Hyoung-Chul;Kim, Sang-Hoon;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.17 no.4
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    • pp.684-694
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    • 2012
  • In the underwater environment, light is absorbed and scattered by water and floating particles, which makes the underwater images suffer from color degradation and limited visibility. Physically, the amount of the scattered light transmitted to the image is proportional to the distance between the camera and the object. In this paper, the proposed visibility enhancement. method utilizes depth images to estimate the light transmission and the degradation factor by the scattered light. To recover the scatter-free images without unnatural artifacts, the proposed method normalizes the degradation factor based on the value of each pixel of the image. Finally, the scatter-free images are obtained by removing the scattered components on the image according to the estimated transmission. The proposed method also considers the color discrepancies of underwater stereo images so that the stereo images have the same color appearance after the visibility enhancement. The experimental results show that the proposed method improves the color contrast more than 5% to 14% depending on the experimental images.

A Study on the 3D Shape Reconstruction Algorithm of an Indoor Environment Using Active Stereo Vision (능동 스테레오 비젼을 이용한 실내환경의 3차원 형상 재구성 알고리즘)

  • Byun, Ki-Won;Joo, Jae-Heum;Nam, Ki-Gon
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.13-22
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    • 2009
  • In this paper, we propose the 3D shape reconstruction method that combine the mosaic method and the active stereo matching using the laser beam. The active stereo matching method detects the position information of the irradiated laser beam on object by analyzing the color and brightness variation of left and right image, and acquires the depth information in epipolar line. The mosaic method extracts feature point of image by using harris comer detection and matches the same keypoint between the sequence of images using the keypoint descriptor index method and infers correlation between the sequence of images. The depth information of the sequence image was calculated by the active stereo matching and the mosaic method. The merged depth information was reconstructed to the 3D shape information by wrapping and blending with image color and texture. The proposed reconstruction method could acquire strong the 3D distance information, and overcome constraint of place and distance etc, by using laser slit beam and stereo camera.

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Study on the Development of Auto-classification Algorithm for Ginseng Seedling using SVM (Support Vector Machine) (SVM(Support Vector Machine)을 이용한 묘삼 자동등급 판정 알고리즘 개발에 관한 연구)

  • Oh, Hyun-Keun;Lee, Hoon-Soo;Chung, Sun-Ok;Cho, Byoung-Kwan
    • Journal of Biosystems Engineering
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    • v.36 no.1
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    • pp.40-47
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    • 2011
  • Image analysis algorithm for the quality evaluation of ginseng seedling was investigated. The images of ginseng seedling were acquired with a color CCD camera and processed with the image analysis methods, such as binary conversion, labeling, and thinning. The processed images were used to calculate the length and weight of ginseng seedlings. The length and weight of the samples could be predicted with standard errors of 0.343 mm, and 0.0214 g respectively, $R^2$ values of 0.8738 and 0.9835 respectively. For the evaluation of the three quality grades of Gab, Eul, and abnormal ginseng seedlings, features from the processed images were extracted. The features combined with the ratio of the lengths and areas of the ginseng seedlings efficiently differentiate the abnormal shapes from the normal ones of the samples. The grade levels were evaluated with an efficient pattern recognition method of support vector machine analysis. The quality grade of ginseng seedling could be evaluated with an accuracy of 95% and 97% for training and validation, respectively. The result indicates that color image analysis with support vector machine algorithm has good potential to be used for the development of an automatic sorting system for ginseng seedling.

Syntheis and $^{99m}Tc$ labeling of Ethylcystein Dimer and Its Brain SPECT Image (두뇌 혈류영상용 방사성의약품인 Ethylcystein Dimer(ECD)의 합성과 $^{99m}Tc$ 표지 및 뇌단일광자단층영상 구성)

  • Jeong, Jae-Min;Lee, Myung-Chul;Chung, Soo-Wook;Lee, Kyung-Han;Cho, Jung-Hyuck;Kwark, Cheol-Eun;Lee, Dong-Soo;Chung, June-Key;Koh, Chang-Soon
    • The Korean Journal of Nuclear Medicine
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    • v.28 no.2
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    • pp.167-171
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    • 1994
  • Ethylcystein dimer (ECD) was synthesized by dimerizatlon of L-thiazolidine-4-carboxylic acid in liquid ammania with sodium metal and successive esterification in ethanolic solution of hydrogen chlorde. The purified product was labeled with $^{99m}Tc$ in the presence of sodium glucarate(pH= 5.6) and stannous chloride. Best result was obtained from the preparation con sisting of 0.1mg ECD, $40{\mu}l$ of 0.4M sodium glucarate (pH=5.6), and $20{\mu}g$ of stannous chloride. The labeling efficiency was 90% with previous condition. The labeled $^{99m}Tc$-ECD was stable at least for 3 hours in PBS(pH=7.4) at room temperature. About 10mCi of $^{99m}Tc$-ECD was injected to normal volunteer, and SPECT image of brain was obtained by triple head camera 10 minutes after inection. The image showed similar distribution of radioactivity in brain with that of HMPAO image.

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