• Journal of Acupuncture Research
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• 제18권6호
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• pp.70-83
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• 2001

Objective : In order to investigate symptoms prevalence related to visual display terminal(VDT) syndrome, and to evaluate the variables affecting the development of the VDT syndrome. Methods : a questionnaire survey was conducted on 127(81 men and 46 women) VDT operators who had been studied in Soongsil University graduated school in Seoul. Result : As a result of analysis with data collected by questionnaire, l. Variables affecting the level of general symptoms were sex, the total time of VDT operation per day, type of typewriting, location of keyboard, illumination, VDT working duration, the time of VDT operation without rest. 2. Variables affecting the level of eye symptoms were sex, the total time of VDT operation per day, type of typewriting, VDT working duration, illumination, method of eye-resting. 3. Variables affecting the level of musculoskeletal symptoms were sex, the total time of VDT operation per day, the time of VDT operation without rest, illumination. Conculsions : In order to protect workers from VDT syndrome, it is urgently required to implement standard management recommendations including restriction of VDT working hours and allowance of more sufficient resting time for VDT workers.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.25-28
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• 2000

Gaze detection is to find out the position on a monitor screen where a user is looking at, using the computer vision processing. This System can help the handicapped to use a computer, substitute a touch screen which is expensive, and navigate the virtual reality. There are basically two main types of the study of gaze detection. The first is to find out the location by face movement, and the second is by eye movement. In the gaze detection by eye movement, we find out the position with special devices, or the methode of image processing. In this paper, we detect not the iris but the pupil from the image captured by Head-Mounted Camera with infra-red light, and accurately locate the position where a user looking at by A(fine Transform.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -1
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• pp.11-14
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• 2000

In this paper, we propose a fast and practical head pose estimation scheme fur eye-head controlled human computer interface with non-constrained background. The method we propose uses complete graph matching from thresholded images and the two blocks showing the greatest similarity are selected as eyes, we also locate mouth and nostrils in turn using the eye location information and size information. The average computing time of the image(360*240) is within 0.2(sec) and we employ template matching method using angles between facial features for head pose estimation. It has been tested on several sequential facial images with different illuminating conditions and varied head poses, It returned quite a satisfactory performance in both speed and accuracy.

• 천문학논총
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• 제30권2호
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• pp.753-755
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• 2015

We had a campaign of observing the annular solar eclipse on 2012 May 21 by naked eye through eclipse eyeglasses to determine the limit line of annularity. As a result, we had about 15,000 reports through our website. In addition there were many observation groups for which about 30,000 people in total participated in the observations. The overall result was that the limit we observed by naked eye through eclipse glasses coincided with a prediction that took into account the lunar limb irregularity within the error of ${\pm}500m$. This error of the limit line location corresponds to about ${\pm}200km$ of the radius of the Sun.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.28.1-28
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• 2001

An automatic face recognition(AFR) of individuals is a significant problem in the development of computer vision. An AFR consists of two major parts which are detection of face region and recognition process, and the overall performance of AFR is determined by each. In this paper, the face region is acquired using chromaticity space, but this face region is a simple rectangle which doesn´t consider the shape information. By applying deformable templates to the face region, we can locate the position of the eyes in images. With the face region and the eye location information, more precise face region can be extract from the image. Because processing time is critical in real-time system, we use simplified eye templates and the modified energy function for the efficiency. We can get a good detection performance in experiments.

• 제어로봇시스템학회논문지
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• 제20권8호
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• pp.868-874
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• 2014

This paper proposes a novel mapping algorithm in Omni-directional Vision SLAM based on an obstacle's feature extraction using Lucas-Kanade Optical Flow motion detection and images obtained through fish-eye lenses mounted on robots. Omni-directional image sensors have distortion problems because they use a fish-eye lens or mirror, but it is possible in real time image processing for mobile robots because it measured all information around the robot at one time. In previous Omni-Directional Vision SLAM research, feature points in corrected fisheye images were used but the proposed algorithm corrected only the feature point of the obstacle. We obtained faster processing than previous systems through this process. The core of the proposed algorithm may be summarized as follows: First, we capture instantaneous $360^{\circ}$ panoramic images around a robot through fish-eye lenses which are mounted in the bottom direction. Second, we remove the feature points of the floor surface using a histogram filter, and label the candidates of the obstacle extracted. Third, we estimate the location of obstacles based on motion vectors using LKOF. Finally, it estimates the robot position using an Extended Kalman Filter based on the obstacle position obtained by LKOF and creates a map. We will confirm the reliability of the mapping algorithm using motion estimation based on fisheye images through the comparison between maps obtained using the proposed algorithm and real maps.

• 대한의생명과학회지
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• 제5권1호
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• pp.41-49
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• 1999

저자들은 1999년 5월에 경기도 남양주군 군부대에서 사육하고 있는 한 마리의 군견 오른쪽 안부 위에서 7마리 (암놈 4마리, 수놈 3마리)의 동양안충을 검출하였다. 이 중 일부는 고정과 lactophenol 액으로 봉입한 후 광학현미경으로 관찰하였으며 일부는 glutaraldehyde액 에 고정하여 주사전자현미경으로 관찰하였다. 충체의 암놈 및 수놈의 두부와 꼬리부위의 형태 특징 그리고 충체 표피의 각질, 암놈 음문의 위치 등을 관찰한 결과 동양안충으로 동정하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (2)
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• pp.544-546
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• 1998

컴퓨터 비젼은 많은 계산을 요구하는 작업으로 구조적인 계산작업(low-level vision)과 비구조적 계산작업(high-level vision)을 가지고 실시간 처리를 요구한다. 이러한 점에서 비젼 작업의 병렬처리와 그것들의 구현에 대한 스케쥴링 schemes이 본 논문에서 중요시 된다. 그리고 PVM이 동작하는 저가의 네트워크로 연결된 워크스테이션 클러스터상에서 구현될 알고리즘을 구현하고 제안된 아이디어는 실용적인 예 (eye location from image sequence)를 들어서 보였다. 차세대의 멀티미디어 환경은 이러한 고성능의 컴퓨팅 플랫폼을 사용하리라 기대된다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.373-376
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• 2013

Nowadays, eyes detection is required and considered as the most important step in several applications, such as eye tracking, face identification and recognition, facial expression analysis and iris detection. This paper presents the eyes detection in facial images using Harris corner detection. Firstly, Haar-like features for face detection is used to detect a face region in an image. To separate the region of the eyes from a whole face region, the projection function is applied in this paper. At the last step, Harris corner detection is used to detect the eyes location. In experimental results, the eyes location on both grayscale and color facial images were detected accurately and effectively.

• Journal of Ecology and Environment
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• 제29권5호
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• pp.425-432
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• 2006

The tadpoles of 12 Korean anuran species, including Bombina orientalis, Bufo gargarizans, B. stejnegeri, Hyla japonica, Kaloula borealis, Rana dybowskii, R. huanrenensis, R. coreana, R. nigromaculata, R. chosenica, R. rugosa, and R. catesbeiana, were classified based on their morphological characteristics. We collected eggs or tadpoles of the 12 Korean anuran species from Gangwon, Incheon, Chungcheong, and Gyeonggi districts in 2005 and 2006 breeding seasons. When the tadpoles reached at $27{\sim}37$ Gosner's developmental stages, we described morphological characteristics of the tadpoles of each anuran species and measured their physical parameters such as total length, body length, and body mass. After that, we chose 12 morphological characteristics to identify each species and to use them as classification keys such as eye location, caudal musculature pattern, spiracle location, oral disc morphology, and labial tooth row formula. In this paper, we presented classification keys, morphological characteristics, and drawings for the tadpoles of 12 anuran species.