• 제목/요약/키워드: Eye Image

검색결과 821건 처리시간 0.027초

A full-color anaglyph three-dimensional display system using active color filter glasses

  • Kim, Jong-Hyun;Kim, Young-Hoon;Hong, Ji-Soo;Park, Gil-Bae;Hong, Kee-Hoon;Min, Sung-Wook;Lee, Byoung-Ho
    • Journal of Information Display
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    • 제12권1호
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    • pp.37-41
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    • 2011
  • Presented herein is a novel stereoscopic three-dimensional (3D) display system with active color filter glasses. This system provides full-color 3D images by applying the time-multiplexing technique on the original anaglyph method. By switching between the opposite anaglyph statuses, a full-color anaglyph is presented. A liquid crystal panel from a 3D monitor serves as an active color filter operating at 120 Hz. A display panel and a color filter are connected to one graphic card as a dual-link system, for synchronization. To test the quality of this system, a left/right-eye image separation test and an experiment with stereoscopic images were carried out. Although there was some crosstalk and blur, the system, as expected, provided full-color 3D display. This system overcomes a monochromatic 3D image, which is the major weakness of the original anaglyph system.

현대패션디자인에 나타난 신체부위의 표현유형과 특성 : 2001S/S$\sim$2008S/S를 중심으로 (Expression Types and Characteristics of Body Parts Shown in Modern Fashion Design: Focused on from 2001S/S to 2008S/S)

  • 김선영
    • 대한가정학회지
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    • 제47권8호
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    • pp.25-35
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    • 2009
  • This study analyzed expression types and characteristics of modern fashion designs using body parts. The research was conducted based on a literature review and empirical research of fashion magazines published in Korea and other countries from 2001 to 2008. Four fashion statements predominated. Most frequently, body parts presented in modern fashion design, included realistic expressions, simplification, anatomic expression and a mixture with other patterns and logos. A body part, such as an eye, a lip, a hand or a chest was characteristically located in an unfamiliar position, as part of modern fashion design using body parts. Other parts and surrealistic images were shown with accessories utilizing body shapes. Second, amusing images were emphasized with humorous expressions, including simplification of body parts, childish decorations, fairy tale illusions and cartoon factors. Third, erotic images were presented with a more realistic expression of a partial image of a female body part, such as a lip or a tongue. Fourth, the use of facial images of celebrities in modern fashion design showed the phase of the times and the characteristic utilization of pop art as an image.

액침법에 의한 바이오디젤유의 액적분포에 관한 연구 (A Study on Droplet Distribution of Bio Diesel Fuels Using Immersion Sampling Method)

  • 김명수;도현철;고대권;안수길
    • 동력기계공학회지
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    • 제10권4호
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    • pp.5-10
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    • 2006
  • The purpose of this study is to measure the droplet distribution and Sauter mean diameter(SMD) of biodiesel fuel, using the immersion sampling method. This method involves using an optical microscope and a CCD camera, to take an image of the droplets. These images are then measured by using a 'Sigma Scan' processing program. The results of the above experiment are summarized as followed ; (1) There can be as much as a 10% error rate when measuring the diameter of these droplets, using the image processing method and the naked eye. (2) The result of droplet size distribution test, TVO(transesterified vegetable oil) big size droplet distribution were increased at ambient pressure $6kg/cm^2$. (3) When ambient pressure increased $6kg/cm^2$ above, SMD variation of TVO and UVO(used vegetable oil) 30 are small. (4) On Rosin-Rammler analysis, droplets size distribution of UVO(used vegetable oil) 30 uniform more than TVO 20 on ambient pressure $1kg/cm^2$.

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Implementation of CNN-based Masking Algorithm for Post Processing of Aerial Image

  • CHOI, Eunsoo;QUAN, Zhixuan;JUNG, Sangwoo
    • 한국인공지능학회지
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    • 제9권2호
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    • pp.7-14
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    • 2021
  • Purpose: To solve urban problems, empirical research is being actively conducted to implement a smart city based on various ICT technologies, and digital twin technology is needed to effectively implement a smart city. A digital twin is essential for the realization of a smart city. A digital twin is a virtual environment that intuitively visualizes multidimensional data in the real world based on 3D. Digital twin is implemented on the premise of the convergence of GIS and BIM, and in particular, a lot of time is invested in data pre-processing and labeling in the data construction process. In digital twin, data quality is prioritized for consistency with reality, but there is a limit to data inspection with the naked eye. Therefore, in order to improve the required time and quality of digital twin construction, it was attempted to detect a building using Mask R-CNN, a deep learning-based masking algorithm for aerial images. If the results of this study are advanced and used to build digital twin data, it is thought that a high-quality smart city can be realized.

딥러닝 기술을 이용한 캐비테이션 자동인식에 대한 연구 (A Study on Autonomous Cavitation Image Recognition Using Deep Learning Technology)

  • 지바한;안병권
    • 대한조선학회논문집
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    • 제58권2호
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    • pp.105-111
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    • 2021
  • The main source of underwater radiated noise of ships is cavitation generated by propeller blades. After the Cavitation Inception Speed (CIS), noise level at all frequencies increases severely. In determining the CIS, it is based on the results observed with the naked eye during the model test, however accuracy and consistency of CIS values are becoming practical issues. This study was carried out with the aim of developing a technology that can automatically recognize cavitation images using deep learning technique based on a Convolutional Neural Network (CNN). Model tests on a three-dimensional hydrofoil were conducted at a cavitation tunnel, and tip vortex cavitation was strictly observed using a high-speed camera to obtain analysis data. The results show that this technique can be used to quantitatively evaluate not only the CIS, but also the amount and rate of cavitation from recorded images.

CCTV 영상에서 참조 영상을 이용한 자동차 번호판 인식률 제고 (Improvement of Recognition of License Plate Numbers in CCTV Images Using Reference Images)

  • 김동민;장상식;윤인혜;백준기
    • 전자공학회논문지
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    • 제49권12호
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    • pp.131-141
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    • 2012
  • 본 논문에서는 저해상도, 저조도, 기하학적 왜곡 등과 같은 열화 요인에 의해서 식별이 불가능한 차량 번호판 분석 방법을 제안한다. 기존 차량 번호판 인식기술은 열화 요인을 제거하는 전처리 과정에서 영상을 식별 가능한 상태로 개선하지 못하는 경우 번호판의 인식이 불가능하였다. 제안된 방법은 전처리 과정에서 번호판 영상이 식별 가능한 상태로 개선되지 못하더라도, 미리 저장된 참조 번호 영상을 입력 영상과 동일하게 왜곡시킨 후, 통계적 방법으로 유사도를 추정하여 번호 인식을 가능하게 한다. 제안된 기술은 불완전한 조명 환경, 육안으로 식별이 불가능할 정도의 저해상도 영상에서도 용의 차량의 번호 인식을 가능하게 한다. 제안된 기술은 실제 범죄 용의 차량의 번호판을 인식하여 실제 검거에 사용이 되었고, 다양한 환경에서 실험을 통하여 범죄 증거를 입증하는데 사용할 수 있음을 확인하였다.

눈 영상의 히스토그램을 이용한 운전자의 졸음 상태 체크 시스템 개발 (Development of Drowsiness Checking System for Drivers using Eyes Image Histogram)

  • 강수민;허경무;양연모
    • 제어로봇시스템학회논문지
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    • 제21권4호
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    • pp.330-335
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    • 2015
  • Approximately 23% of traffic accidents appear to be caused by drowsiness while driving. This fact shows that drowsy driving is a big factor in many traffic accidents. Therefore, the development of a drowsiness checking system is necessary to prevent drowsy driving. In this paper, we analyse the changes of the histogram of eye region images which are acquired using a CCD camera. We develop a drowsiness checking system using this histogram change information. The experimental results show that our proposed method enhances the accuracy of checking drowsiness by nearly 98%, and can be used to prevent vehicle accidents due to the drowsiness of a driver.

두 가지 예제 이미지를 이용한 얼굴 영역 별 메이크업 (Region-based Face Makeup using two example face images)

  • 이재윤;강행봉
    • 한국멀티미디어학회논문지
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    • 제18권9호
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    • pp.1019-1026
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    • 2015
  • In this paper, we propose a new method of eye, face, and lip makeup techniques on the target face image from several makeup examples without losing detail features such as eyelids, eyebrows, hair. After detection of the feature layer for the skin, we applied our makeup techniques to the target face by using a blending technique. We used a cartoon rendering using bilateral filter. In order to smoothly makeup the target face, we created two Gaussian Weight maps for natural skin makeup effects. Our method did not need to perform complex operations, so the makeup results are so natural. Our experimental results show good performances in various makeups.

Model-Based Simulation Analysis of Wicking Behavior in Hygroscopic Cotton Fabric

  • Hong, Cheol-Jae;Kim, Byung-Jick
    • 패션비즈니스
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    • 제20권6호
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    • pp.66-78
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    • 2016
  • Hygroscopic knitted cotton fabric was found to spontaneously absorb water showing a significantly wide concentration gradient in the absorption direction. A semi-empirical diffusion model was introduced to describe how the wicking behavior compared to the classical capillary model (Washburn's equation), which has been widely used in the textiles industry. The capillary sorption curve and the permeability coefficient, which are key variables for the model equations, were measured using an electronic balance. The concentration profile as a function of the wicking distance and the elapsed time was derived, based on the diffusion model. From the concentration profile, the wicking distance detectable by the human eye or a digital camera with the aid of an image-analysis system, could be described realistically as a function of the time. The classical capillary model could be modified by introducing the tortuous correction factor to match the diffusion model. Wicking models and data-processing techniques in the work could provide useful tools for objectively evaluating the textile's wicking performances.

강인한 홍채 인식 시스템을 위한 효율적인 눈 영상 검사 알고리즘 (The Efficient Eye Image Check Algorithm for The Robust Iris Recognition System)

  • 장자인;김귀주;손진호;이일병
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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    • pp.328-330
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    • 2003
  • 홍채 인식 시스템의 성능향상을 위해서는 전처리 단계에서 위조된 데이터나 잡음이 섞인 데이터를 걸러내는 과정이 매우 중요하다. 이 논문에서는, 강인한 홍채 인식 시스템을 위해서 두 단계로 이루어진 눈 영상 검사 알고리즘을 제안한다. 알고리즘의 첫 번째 단계에서는 동공 반지름과 눈꺼풀 움직임 변화량의 상관계수(coefficient)와 2차원 고속 퓨리에 변환(Fast Fourier Transform) 스펙트럼을 이용해 위조된 데이터를 찾아낸다. 두 번째 단계에서는 눈 영상에 눈 깜박임이나 속눈썹의 홍채영역 침범, 홍채 영상이 부분적으로 잘렸을 경우 등의 시스템의 성능저하의 원인이 되는 부적절한 데이터를 찾아낸다. 111영의 1734개의 눈 영상을 대상으로 실험한 결과, 제안된 알고리즘의 성공률은 96.5%였고 이러한 전처리 과정을 통해서 전체적인 시스템의 정확률을 향상시킬 수 있다.

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