• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.257-259
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• 1996

This paper presents the active eye system for tracking a moving object in 3D space. A prototype system able to track a moving object is designed and implemented. The mechanical system ables the control of platform that consists of binocular camera and also the control of the vergence angle of each camera by step motor. Each camera has two degrees of freedom. The image features of the object are extracted from complicated environment by using zero disparity filtering(ZDF). From the cnetroid of the image features the gaze point on object is calculated and the vergence angle of each camera is controlled by step motor. The Proposed method is implemented on the prototype with robust and fast calculation time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2370-2372
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• 1998

Recently we have developed an active stereo head-eye system with vergence, name it KIST HECter(Head-Eye System with Colored Stero Vision), based on the analysis of human's neck and eye motion at visual behavior. Our HECter is a five degree-of-freedom system composed of pan and tilt motion in neck part and independent vergence motion of binocular cameras and commonly shared elevation axis in eye part. And stereo vision Provides two color image, which are processed by powerful each TMS32080 vision board. The shape and size are designed to be almost same as human face. The ability to vergence has significant importance and gives many beneficial merits. On its mechanical implementation we adapt a non-parallelogram 4-bar linkage mechanism since it provides high accuracy in transfering motion and enables compact and flexible design.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.178-186
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• 2003

Recently, many researchers have been interested in biometric systems such as fingerprint, handwriting, key-stroke patterns and human iris. From the viewpoint of reliability and robustness, iris recognition is the most attractive biometric system. Moreover, the iris recognition system is a comfortable biometric system, since the video image of an eye can be taken at a distance. In this paper, we discuss human iris recognition, which is based on accurate iris localization, robust feature extraction, and Neural Network classification. The iris region is accurately localized in the eye image using a multiresolution active snake model. For the feature representation, the localized iris image is decomposed using wavelet transform based on dyadic Haar wavelet. Experimental results show the usefulness of wavelet transform in comparison to conventional Gabor transform. In addition, we present a new method for setting initial weight vectors in competitive learning. The proposed initialization method yields better accuracy than the conventional method.

• 센서학회지
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• 제10권1호
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• pp.52-61
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• 2001

이 논문에서는 선택적 주의 집중 기능을 갖는 도약 안구 시각 시스템을 제안한다. Saliency map 모델은 주어진 자연 영상에 대하여 선택위치를 순차적으로 출력하여 시선 이동 경로를 발생시킨다. 발생한 선택위치로의 신속한 움직임을 위하여 도약 안구 운동 모델을 개발하였다. 도약 안구 운동 모델은 시각 자극에 의한 반사적 도약 안구 운동 발생 시각 경로를 세 부분으로 구분하고, 시각 경로에 포함되는 뇌 조직들의 기능 및 역할이 반영되도록 각각의 세부 경로를 서로 다른 신경회로망을 이용하여 모델 하였다. 구현한 Saliency map 모델과 도약 안구운동 모델을 기반으로 한 능동 시각 시스템을 CCD 카메라와 BLDC 모터를 이용하여 실제 구성하고, 제안한 능동 시각 시스템이 실제 도약 안구의 움직임을 잘 추종하는지를 실험을 통하여 검증하였다.

• 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.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 춘계학술대회논문집
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• pp.36-47
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• 1996

By integrating the eye head-position monitioring devices, the present authors developed an eye-controlled human/computer interface based on the line-of-sight and an intentional blink to invoke commands. Also modified was an existing calibration method to reduce the visual angle between the target center and the intersection point of the derived line-of-sight. This modified calibration method allowed 108 or more command blocks to be displayed on the 14 inch monitor with the target acquisition probability(hit rate) of 98% when viewed at the distance of 500 mm apart. An active triggering method using an intentional blink was proposed and was shown to be a feasible and efficient alternative to invoke commands with total triggering time of 0.8 sec or less. The system could be used by the normal people as well as the handicapped individuals as a new human/computer interface.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2004년도 추계학술대회
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• pp.234-239
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• 2004

This paper describes preliminary results we have obtained in developing a computer vision system based on active IR illumination for real time gaze tracking for interactive graphic display. Unlike most of the existing gaze tracking techniques, which often require assuming a static head to work well and require a cumbersome calibration process fur each person, our gaze tracker can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using the Generalized Regression Neural Networks (GRNN). With GRNN, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. The effectiveness of our gaze tracker is demonstrated by preliminary experiments that involve gaze-contingent interactive graphic display.

• 한국인터넷방송통신학회논문지
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• 제20권6호
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• pp.175-182
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• 2020

비접촉식 시선추적 기술은 인간과 컴퓨터간의 인터페이스로서 장애가 있는 사람들에게 핸즈프리 통신을 제공하며, 최근 코로나 바이러스 등으로 인한 비접촉시스템에도 중요한 역할을 할 것으로 기대된다. 따라서 본 논문에서는 인간 중심의 상호 작용을 위한 상황인식 다중영역 분류기 및 ASSL 알고리즘을 기반으로 한 사용자 인터페이스 기술을 개발한다. 이전의 AdaBoost 알고리즘은 안구 특징 사이의 공간적 맥락 관계를 이용할 수 없기 때문에 눈의 커서 포인팅 추정을 위한 안면 추적에서 충분히 신뢰할 수 있는 성능을 제공 할 수 없다. 따라서 본 논문에서는 효율적인 비접촉식 시선 추적 및 마우스 구현을 위한 눈 영역의 상황기반 AdaBoost 다중 영역 분류기를 제시한다. 제안된 방식은 여러 시선 기능을 감지, 추적 및 집계하여 시선을 평가하고 온 스크린 커서 기반의 능동 및 반 감독 학습을 조정한다. 이는 눈 위치에 성공적으로 사용되었으며 눈 특징을 감지하고 추적하는 데에도 사용할 수 있다. 사용자의 시선을 따라 컴퓨터 커서를 제어하며 칼만 필터를 이용하여 실시간으로 추적하며, 가우시안 모델링을 적용함으로써 후처리하였다. Fits law에 의해 실험하였으며, 랜덤하게 대상객체를 생성하여 실시간으로 시선추적성능을 분석하였다. 제안하는 상황인식을 기반 인식기를 통하여 비접촉 인터페이스로서의 활용이 높아질 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.103.6-103
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• 2001

Glaucoma is an eye disease which is caused by abnormal high IOP (Intra Ocular Pressure) in the eye. High IOP is caused by the aqueous humor which is produced consistently but not drained due to the malfunction of the trabecular system which has a role of draining the aqueous humor into the venous system. Currently, there are some methods to treat glaucoma, Among these, the use of implants is increasing in these days due to many problems in other methods. However, conventional implants are passive implants and have critical disadvantage. Therefore, it is needed to develop a new implant using MEMS structure which is capable of controlling the IOP actively and copes with personal difference of patients. An active glaucoma implant consists of the valve actuator, pressure sensor, controller, and power supply. In this paper the valve actuator is considered. We make experiments and simulations with the fabricated ...

• 한국인터넷방송통신학회논문지
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• 제14권3호
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• pp.89-97
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• 2014

본 논문에서는 운전자의 졸음 판단에 필요한 눈 깜빡임과 하품에 대해 실시간 빈도수 측정 프로그램을 제안한다. 사용자의 눈과 입의 개폐 빈도수 측정을 위해서 CCD 카메라 영상을 기반으로 OpenCV를 이용하여 얼굴을 검출한 후, 검출된 얼굴을 기반으로 눈동자 영역 추출 기술인 CDF(Cumulative Distribution Function)를 사용하여 눈의 위치를 찾아서 활성 윤곽(Active Contour) 기술을 이용하여 눈과 입의 영역을 추출한다. 추출된 눈과 입의 영역을 본 프로그램을 이용하여 각 각의 개폐 빈도수를 측정하며 결과 값을 분석하여 사용자의 졸음 판단을 위한 기반 기술로 활용한다.