• Title/Summary/Keyword: vision recognition

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Color Vision Abnormality of Elementary School Students in Kwang Ju Area (광주지역 초등학생들의 색각이상에 관한 연구)

  • Ryu, Geun-Chang;Yoon, Young;Seong, Jeong-Sub
    • Journal of Korean Ophthalmic Optics Society
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    • v.12 no.3
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    • pp.89-91
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    • 2007
  • Color vision test was conducted to elementary school students at age of 9 to 13, with total subject number of 598 which live in Gwang Ju area. 325 (54.3%) boys and 273 (45.7%) girls were subjected using Hahn Color Vision test to find out color recognition problems. 1. Ratios of color vision abnomality were 6.25% in 9 year old students, 9.2% in 10 year old students, 8.4% in 12 year old students, 7.8% in 13 year old students, which means 7.9% of the total 598 subjects had color recognition matters. 2. Red-Green dyschromatopsia was 7.8% of the total 598 subjects which includes most of subjects. None of them had green-yellow recognition problem. Full dyschromatopsia had frequency of 0.2%. 3. 10.7% of boys had color vision abnormality, while 10.7% of girls had color vision abnormality, which means that boys have color recognition problems with higher rate than girls.

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Implementation of Vision System combining Character and Color Recognition (문자 및 색 인식을 혼용한 검사시스템의 구현)

  • Yang, Woo-Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.221-225
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    • 2016
  • This paper is about vision system that exhibits automatic examination of the conditions of fuses and relay boxes using a camera. Proposed vision system is composed of three parts: image acquisition, vision algorithm, and user interface. The image acquisition part is composed of illumination and optics. The vision algorithmis the examining part, using the grabbed fuse box image. Lastly, user interface is divided into two parts, user interface for registering features of fuse box and user interface for examination operation.

Development of vision system for the recognition of character image which was included at the slab image (슬라브 영상에 포함된 문자영상의 인식을 위한 비전시스템의 개발)

  • Park, Sang-Gug
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.95-100
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    • 2007
  • In the steel & iron processing line, some characters are marked for the material management in the surface of material. This paper describes about the developed results of vision system for the recognition of material management characters, which was included in the slab image. Our vision system for the character recognition includes that CCD camera system which acquire slab image, optical transmission system which transmit captured image to the long distance, input and output system for the interface with existing system and monitoring system for the checking of recognition results. We have installed our vision system at the continuous casting line and tested. Also, we have performed inspection of durability, reliability and recognition rate. Through the testing, we have confirmed that our system have high recognition rate, 97.4%.

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Vision Based Sensor Fusion System of Biped Walking Robot for Environment Recognition (영상 기반 센서 융합을 이용한 이쪽로봇에서의 환경 인식 시스템의 개발)

  • Song, Hee-Jun;Lee, Seon-Gu;Kang, Tae-Gu;Kim, Dong-Won;Seo, Sam-Jun;Park, Gwi-Tae
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.123-125
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    • 2006
  • This paper discusses the method of vision based sensor fusion system for biped robot walking. Most researches on biped walking robot have mostly focused on walking algorithm itself. However, developing vision systems for biped walking robot is an important and urgent issue since biped walking robots are ultimately developed not only for researches but to be utilized in real life. In the research, systems for environment recognition and tole-operation have been developed for task assignment and execution of biped robot as well as for human robot interaction (HRI) system. For carrying out certain tasks, an object tracking system using modified optical flow algorithm and obstacle recognition system using enhanced template matching and hierarchical support vector machine algorithm by wireless vision camera are implemented with sensor fusion system using other sensors installed in a biped walking robot. Also systems for robot manipulating and communication with user have been developed for robot.

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Implementation of Real-time Logistics Identification System using Vision Sensors (비전 센서를 사용하는 실시간 물류 파악 시스템 구현)

  • Kim, Dong-Hwi;Park, Min-Hyurk;Park, Sung-Jae;Park, Jung Kyu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.172-174
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    • 2022
  • Logistics processing companies in Korea are mostly handling various types of products in and out. In order to process various types of products, the sorting business is performed by hand. In this paper, we propose a real-time QR code detection method using a vision sensor to achieve high efficiency with a small amount of manpower. The limiting system uses a vision sensor to process QR code recognition of logistics in real time. The proposed system can quickly identify a large number of QR codes through multiple recognition rather than QR code recognition, which is a single part of logistics. In the study, the system was actually implemented and verified, and multiple QR recognition was confirmed in the image through the vision center.

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A Novel Approach to Mugshot Based Arbitrary View Face Recognition

  • Zeng, Dan;Long, Shuqin;Li, Jing;Zhao, Qijun
    • Journal of the Optical Society of Korea
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    • v.20 no.2
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    • pp.239-244
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    • 2016
  • Mugshot face images, routinely collected by police, usually contain both frontal and profile views. Existing automated face recognition methods exploited mugshot databases by enlarging the gallery with synthetic multi-view face images generated from the mugshot face images. This paper, instead, proposes to match the query arbitrary view face image directly to the enrolled frontal and profile face images. During matching, the 3D face shape model reconstructed from the mugshot face images is used to establish corresponding semantic parts between query and gallery face images, based on which comparison is done. The final recognition result is obtained by fusing the matching results with frontal and profile face images. Compared with previous methods, the proposed method better utilizes mugshot databases without using synthetic face images that may have artifacts. Its effectiveness has been demonstrated on the Color FERET and CMU PIE databases.

A Case Study on Distance Learning Based Computer Vision Laboratory (원거리 학습 기반 컴퓨터 비젼 실습 사례연구)

  • Lee, Seong-Yeol
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.175-181
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    • 2005
  • This paper describes the development of on-line computer vision laboratories to teach the detailed image processing and pattern recognition techniques. The computer vision laboratories include distant image acquisition method, basic image processing and pattern recognition methods, lens and light, and communication. This study introduces a case study that teaches computer vision in distance learning environment. It shows a schematic of a distant loaming workstation and contents of laboratories with image processing examples. The study focus more on the contents of the vision Labs rather than internet application method. The study proposes the ways to improve the on-line computer vision laboratories and includes the further research perspectives

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A study on perceived value of work having effect on organizational attitude of dental hygienists (치과위생사들의 직업가치인식이 조직태도에 미치는 영향)

  • Yoon, Hee-Suk;Kim, Young-Sun
    • Journal of Korean society of Dental Hygiene
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    • v.8 no.3
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    • pp.65-72
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    • 2008
  • This study has collected 322 clinical dental hygienists working in Daegu and around Daegu, in order to investigate perceived value of work among dental hygienists and extent of organizational attitude and find relationship between these, and we can finds these conclusions as follows; 1. The total average point of perceived value of work is 3.36(5 is a full mark), and we could gain each points as follows; vision realizability 3.53, process efficiency 3.42, product usefulness 3.32, job significance 3.31, social recognition 3.23. 2. The total average point of organizational attitude is 3.13, and job satisfaction, organizational commitment are 3.14, 3.12 respectively. 3. Variables of perceived value of work related job satisfaction are social recognition, vision realizability, process efficiency,(Social recognition is the most effective variable, and next vision realizability, process efficiency are effective in the order named.)($R^2$=.24) and we could find that job satisfaction is proportion to perceived value of work, according to relationship of these variables. Variables of perceived value of work related to organizational commitment are also vision realizability, social recognition, process efficiency,(Vision realizability is the most effective variable, and next social recognition, process efficiency are effective in the order named.)($R^2$=.32) and we could find that organizational commitment is proportion to perceived value of work, according to relationship of these variables. According to these result, perceived value of work and organization attitude(job satisfaction, organizational commitment) of dental hygienists are affirmative. but to make their attitudes be more affirmative, the research about improving perceived value of work is needed. Especially, vision realizability and social satisfaction are very important variables at perceived value of work of dental hygienists.

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Hybrid Real-time Monitoring System Using2D Vision and 3D Action Recognition (2D 비전과 3D 동작인식을 결합한 하이브리드 실시간 모니터링 시스템)

  • Lim, Jong Heon;Sung, Man Kyu;Lee, Joon Jae
    • Journal of Korea Multimedia Society
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    • v.18 no.5
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    • pp.583-598
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    • 2015
  • We need many assembly lines to produce industrial product such as automobiles that require a lot of composited parts. Big portion of such assembly line are still operated by manual works of human. Such manual works sometimes cause critical error that may produce artifacts. Also, once the assembly is completed, it is really hard to verify whether of not the product has some error. In this paper, for monitoring behaviors of manual human work in an assembly line automatically, we proposes a realtime hybrid monitoring system that combines 2D vision sensor tracking technique with 3D motion recognition sensors.

Object Recognition Using Planar Surface Segmentation and Stereo Vision

  • Kim, Do-Wan;Kim, Sung-Il;Won, Sang-Chul
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1920-1925
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    • 2004
  • This paper describes a new method for 3D object recognition which used surface segment-based stereo vision. The position and orientation of an objects is identified accurately enabling a robot to pick up, even though the objects are multiple and partially occluded. The stereo vision is used to get the 3D information as 3D sensing, and CAD model with its post processing is used for building models. Matching is initially performed using the model and object features, and calculate roughly the object's position and orientation. Though the fine adjustment step, the accuracy of the position and orientation are improved.

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