• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.187-194
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• 2021

This paper presents a margin-based face liveness detection method with behavioral confirmation to prevent spoofing attacks using deep learning techniques. The proposed method provides a possibility to prevent biometric person authentication systems from replay and printed spoofing attacks. For this work, a set of real face images and fake face images was collected and a face liveness detection model is trained on the constructed dataset. Traditional face liveness detection methods exploit the face image covering only the face regions of the human head image. However, outside of this region of interest (ROI) might include useful features such as phone edges and fingers. The proposed face liveness detection method was experimentally tested on the author's own dataset. Collected databases are trained and experimental results show that the trained model distinguishes real face images and fake images correctly.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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• pp.333-334
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• 2008

A real-time face tracking is a broad topic, covering a large spectrum of technologies and applications. Briefly face tracking is a kind of tracing technique which follows human face in any directions. It needs some algorithms such as human face detection and motion controller to track face. Moreover, both processing time and calculation time are the most important factors that influence to drive tracking system. In this paper, two algorithms are used to find human face: earn-shift algorithm and face detection algorithm using OpenCV. Fuzzy controller is utilized to move pan-tilt camera system which can move four directions along to x-y axis.

• 복식문화연구
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• 제6권4호
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• pp.13-25
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• 1998

This study focuses on the visual effects of various neckline-haristyle combinations on the perception of face image and type. The study employed a model with oval face and examined 35 combinations made up of five necklines and seven hairstyles. Looking at various face images depending upon different necklines, in case of round, V, boat square, and high necklines, long wave hair and medium wave hair produced a feminine image of marked individuality; long straight hair that covers the forehead and medium straight hair gave an image of charm and purity as well as an image of neatness; and long straight hair short cut hair showed an intellectual image. Regarding the perceptual type of face depending upon the different necklines of round, V, square, and high, the long straight hair covering the forehead and medium wave hair had the effect of an optical illusion that made the face look short and round; and short cut hair made the face line look distinct and the face look oval and slender.

• 제어로봇시스템학회논문지
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• 제10권11호
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• pp.991-999
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• 2004

Face robots capable of expressing their emotional status, can be adopted as an efficient tool for friendly communication between the human and the machine. In this paper, we present a face robot actuated with artificial muscle based on dielectric elastomer. By exploiting the properties of polymers, it is possible to actuate the covering skin, eyes as well as provide human-like expressivity without employing complicated mechanisms. The robot is driven by seven types of actuator modules such as eye, eyebrow, eyelid, brow, cheek, jaw and neck module corresponding to movements of facial muscles. Although they are only part of the whole set of facial motions, our approach is sufficient to generate six fundamental facial expressions such as surprise, fear, anger, disgust, sadness, and happiness. Each module communicates with the others via CAN communication protocol fur the desired emotional expressions, the facial motions are generated by combining the motions of each actuator module. A prototype of the robot has been developed and several experiments have been conducted to validate its feasibility.

• 한국멀티미디어학회논문지
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• 제15권4호
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• pp.508-515
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• 2012

본 논문은 Active Appearance Model(AAM)을 사용하여 주어진 얼굴영상의 포즈추정과 임의 포즈합성 방법을 설명한다. AAM은 다양한 응용분야에 성공적으로 적용되어지고 있는 예제기반 학습모델로 예제들의 변화정도를 학습한다. 그러나 하나의 모델로는 각도 변화가 큰 포즈 변화량을 수용하기 어렵다. 본 논문은 좁은 범위의 각도 변화를 다루는 모델을 포즈별로 생성한다. 주어진 포즈 얼굴을 다룰 수 있는 모델을 이용하여 정확한 포즈추정과 합성이 가능하다. 이때 합성하고자 하는 포즈의 각도가 포즈 추정을 위해 사용된 모델에 학습되어 있지 않은 경우, 미리 학습된 모델간의 선형관계를 통해 문제를 해결한다. Yale B 공개 얼굴 데이터베이스에 대한 실험을 통해 포즈추정 및 합성 정확도를 보이고, 자체 수집한 포즈변화가 큰 얼굴영상에 대한 성공적인 정면 합성 결과를 제시한다.

• 터널과지하공간
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• 제18권6호
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• pp.427-435
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• 2008

본 연구에서는 지반등급 V중에서 막장자립이 곤란한 지반에 대해 지반고유의 지지력을 최대한 이용하기 위한 굴착공법 및 적정벤치길이에 대해 검토하고, 보조공법으로 막장볼트를 적용할 경우 타설 패턴, 타설 개수에 따라 막장 및 막장주변지반에 어떠한 영향이 발생되는지에 대해 3차원 FEM해석을 수행하였다. 보조벤치 병용전단면공법이 조기 단면폐합으로 변위를 크게 줄일 수 있음을 알 수 있었으며, 타설 패턴으로는 격자상, 교호배치형(지그재그형), 원주상순으로 변위억제효과가 있는 것으로 나타났다. 또한 타설 개수 증가에 따라 막장축방향 수평변위에 대해 억제효과가 있는 것으로 분석되었으며 보조벤치 병용 전단면공법굴착시공의 경우 막장부 $1.5m^2$에 1개의 막장볼트(격자상) 타설로 막장면 안정성을 확보할 수 있을 것으로 판단되었다.

• Structural Engineering and Mechanics
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• 제54권5호
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• pp.955-971
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• 2015

In this paper, the influence of the polled direction of piezoelectric materials on the stress distribution is studied under time-harmonic dynamical load (time-harmonic Lamb's problem). The system considered in this study consists of piezoelectric covering layer and piezoelectric half-plane, and the harmonic dynamical load acts on the free face of the covering layer. The investigations are carried out by utilizing the exact equations of motion and relations of the linear theory of electro-elasticity. The plane-strain state is considered. It is assumed that the perfect contact conditions between the covering layer and half-plane are satisfied. The boundary value problems under consideration are solved by employing Fourier exponential transformation techniques with respect to coordinates directed along the interface line. Numerical results on the influence of the polled direction of the piezoelectric materials such as PZT-5A, PZT-5H, PZT-4 and PZT-7A on the normal stresses, shear stresses and electric potential acting on the interface plane are presented and discussed. As a result of the analyses, it is established that the polled directions of the piezoelectric materials play an important role on the values of the studied stresses and electric potential.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1229-1234
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• 2004

Face robots capable of expressing their emotional status, can be adopted as an e cient tool for friendly communication between the human and the machine. In this paper, we present a face robot actuated with arti cial muscle based on dielectric elastomer. By exploiting the properties of polymers, it is possible to actuate the covering skin, and provide human-like expressivity without employing complicated mechanisms. The robot is driven by seven types of actuator modules such as eye, eyebrow, eyelid, brow, cheek, jaw and neck module corresponding to movements of facial muscles. Although they are only part of the whole set of facial motions, our approach is su cient to generate six fundamental facial expressions such as surprise, fear, angry, disgust, sadness, and happiness. Each module communicates with the others via CAN communication protocol and according to the desired emotional expressions, the facial motions are generated by combining the motions of each actuator module. A prototype of the robot has been developed and several experiments have been conducted to validate its feasibility.

• Journal of Mechanical Science and Technology
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• 제19권2호
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• pp.578-588
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• 2005

Face robots capable of expressing their emotional status, can be adopted as an efficient tool for friendly communication between the human and the machine. In this paper, we present a face robot actuated with artificial muscle based on dielectric elastomer. By exploiting the properties of dielectric elastomer, it is possible to actuate the covering skin, eyes as well as provide human-like expressivity without employing complicated mechanisms. The robot is driven by seven actuator modules such eye, eyebrow, eyelid, brow, cheek, jaw and neck module corresponding to movements of facial muscles. Although they are only part of the whole set of facial motions, our approach is sufficient to generate six fundamental facial expressions such as surprise, fear, angry, disgust, sadness, and happiness. In the robot, each module communicates with the others via CAN communication protocol and according to the desired emotional expressions, the facial motions are generated by combining the motions of each actuator module. A prototype of the robot has been developed and several experiments have been conducted to validate its feasibility.

• 한국산학기술학회논문지
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• 제21권7호
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• pp.285-291
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• 2020

제조 산업에서 인력은 로봇으로 대체되지만 전문 기술은 데이터 변환이 어려워 산업용 로봇에 적용이 불가능하다. 이는 비전 기반의 모션 인식 방법으로 데이터 확보가 가능하나 이미지 데이터에 따라 판단 값이 달라질 수 있다. 따라서 본 연구는 비전 방법을 사용해 사람의 자세를 추정 시 영향을 미치는 인자를 고려해 정확성 향상 방법을 찾고자 한다. 비전 방법 중 OpenPose의 3가지 모델 MPII, COCO 및 COCO + foot을 사용했으며, CNN(Convolutional Neural Networks)을 사용한 OpenPose 구조에서 얼굴 가림 및 이미지 전처리에 미치는 영향을 확인하고자 액세서리의 유무, 이미지 크기 및 필터링을 매개 변수로 설정했다. 각 매개 변수 별 이미지 데이터를 3 가지 모델에 적용해 실제 값과 예측 값 사이 거리 오차와 PCK (Percentage of correct Keypoint)로 영향도를 판단했다. 그 결과 COCO + foot 모델은 3 가지 매개 변수에 대한 민감도가 가장 낮았다. 또한 이미지 크기는 50% (원본 3024 × 4032에서 1512 × 2016로 축소) 이상 비율이 가장 적절하며, MPII 모델만 emboss 필터링을 적용할 때 거리 오차 평균이 최대 60pixel 감소되어 향상된 결과를 얻었다.