• 디지털산업정보학회논문지
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• 제16권4호
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• pp.67-74
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• 2020

As the information age develops, Online education and Non-face-to-face work are becoming common. Telecommuting such as tele-education and video conferencing through the application of information technology is also becoming common due to the COVID-19. Unexpected information leakage can occur online when the company conducts work remotely or holds meetings. A system to authenticate users is needed to reduce information leakage. In this study, there are various ways to authenticate remote access users. By applying burn authentication using a biometric system, a method to identify users is proposed. The method used in the study was studied the main component analysis method, which recognizes several characteristics in facial recognition and processes interrelationships. It proposed a method that can be easily utilized without additional devices by utilizing a camera connected to a computer by authenticating the user using the shape and characteristics of the face by using the PCA method.

• 한국컴퓨터그래픽스학회논문지
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• 제16권2호
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• pp.29-37
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• 2010

본 논문에서는 얼굴의 3차원 스캔 데이터로부터 특징을 고려하여 비대칭적인 요소를 완화시키는 대칭적 변형 기법을 제안한다. 이를 위해 얼굴의 전체 윤곽뿐만 아니라 세밀한 영역까지 다룰 수 있는 얼굴의 특징점과 표면 곡률에 기초한 새로운 3차원 형상 기술자(shape descriptor)를 개발하였다. 개발된 형상 기술자는 이상적인 대칭 평면을 정의하여 정확한 대칭쌍 정점을 결정할 수 있기 때문에, 보다 정교하게 3차원 얼굴의 대칭성을 향상 시킬 수 있다. 또한 변형을 위한 모든 단계에서 처리를 쉽게 하도록 포인트 기반 표현법을 사용하였다. 마지막으로 제안한 대칭적 변형 기법을 통해 얼굴의 비대칭성을 감소시킴으로써 얼굴에 대한 호감도를 향상시킬 수 있다는 것을 통계적으로 검증하였다.

• 대한전자공학회논문지SP
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• 제38권1호
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• pp.11-18
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• 2001

본 논문에서는 얼굴영상 압축을 위한 알고리즘으로 삼각특징 추출과 GHA를 이용한 압축 알고리즘을 제안한다. 특징추출에서 입력영상을 8개의 삼각형으로 분할한 다음 데이터의 취득순서를 설정하여 영상을 분할하면서도 위치정보를 보존할 수 있는 알고리즘을 제안하고, 압축을 위해 GHA를 도입함으로써 복원 시 생기는 블록화 현상을 대폭 개선하였으며 얼굴의 윤곽과 이목구비 등 얼굴의 전체적인 형태를 압축 알고리즘에 반영할 수 있었다. 기존의 블록기반 K-means 알고리즘과 얼굴영상을 분할하지 않고 전체를 입력으로 사용하는 알고리즘과의 비교실험결과 제안된 방법의 성능이 가장 우수함을 볼 수 있었다.

• 대한기계학회논문집
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• 제17권9호
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• pp.2162-2171
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• 1993

Geneal Structure optimization is utilized to minimize the weight of structures while satisfying constraints imposed on stress, displacements and natural frequencies, etc. Sandwich structures consist of inside core and outside face sheets. The selected sandwich structures are isotropic sandwich beams and isotropic sandwich plate. The face sheets are treated as membrane and assumed to carry only tensions, while the core is assumed to carry only transverse shear. The characteristic of the varying area are considered by adding the projected component of the tension to the transverse shear. The bending theory and energy method are adopted for analyzing sandwich beams and plates, respectively. In the optimization process, the cost function is the weight of a structure, and a deflection and stress constraints are considered. Design variable are thickness and tapering coefficients which determine the shape of a structure. An existing optimization code is used for solving the formulated problems.

• 한국의상디자인학회지
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• 제10권2호
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• pp.57-68
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• 2008

In this study, we prepared reference data needed for clothing design for middle-aged women by analyzing body satisfaction of their body shape, which had been classified by collecting body features of middle-aged women. As for the study method, we have set five scales from 'never satisfied' to 'very much satisfied,' after analyzing body features of middle-aged women by measuring their body shape through the body meter and auxiliary tools. We used the SPSS 12.0 statistics program, and the results are the following: Body shapes of middle-aged women can be classified into the following four types. A middle-age women with an 'A silhouette' has a normal height, but fat nether limbs. A 'Y silhouette' is short with a fat upper body. The 'O silhouette' is short with fat nether limbs and upper body, and 'H silhouette' is tall and thin. Body shape I has displayed satisfaction with her own body shape, and body shape II showed the most dissatisfaction compared to other body shapes. Body shape III showed satisfaction on all items except face size and breast size, whereas body shape IV was dissatisfied with her face size, neck length, shape of her breast, waist, and buttocks. The result of this study is expected to contribute in accomplishing clothing production that will satisfy the desire of the consumers in the clothing business, while being utilized as the basic data for clothing design that fits their body shape by grasping the changing patterns of their body shape.

• 한국전자통신학회논문지
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• 제4권2호
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• pp.116-122
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• 2009

본 논문에서는 얼굴 애니메이션을 좀 더 실질적으로 표현하기 위하여 한글 생성의 원리와 입 모양 형태의 유사성을 기반으로 기본 음소를 선정하고 이를 이용하는 새로운 알고리듬을 제안한다. 카메라를 통해 얻어진 특징 점 이용이 아닌, 모션 캡쳐 (Motion Capture) 장비를 사용하여 실제 입모양의 움직임 데이터를 취득하여 취득된 데이터를 지수 증,감 형태로 나타내어 발성에 대한 음소를 표현하고 연속된 음절을 표현하기 위하여 지배 함수(Dominance Function)와 혼합 함수(Blending Function)를 적용하여 동시 조음에 대한 표현을 해결하였다. 또한 음절 간의 결합 시간을 입 주변의 마커(Marker) 거리 값의 변위를 이용하여 그 기울기 값에 따라 시간 지연을 함으로 현실감 있는 사용자 입력 문자에 대한 입 모양 궤적 데이터를 생성하는 실험 결과를 보여준다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.41-44
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• 2000

In this paper, we present an efficient face detection algorithm for locating vertical views of human faces in complex scenes. The algorithm models the distribution of human skin color in YCbCr color space and find various ace candidate regions. Face candidate regions are found by thresholding with predetermined thresholds. For each of these face candidate regions, The sobel edge operator is used to find edge regions. For each edge region, we used an ellipse detection algorithm which is similar to hough transform to refine the candidate region. Finally if a substantial number of he facial features (eye, mouth) are found successfully in the candidate region, we determine he ace candidate region as a face region. e show empirically that the presented algorithm an find the face region very well in the complex scenes.

• Journal of the Optical Society of Korea
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• 제20권2호
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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.

• 한국한의학연구원논문집
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• 제6권1호
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• pp.29-46
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• 2000

The clinical application of constitutional Diagnosis is the most important part of Sasang constitutional medicine. It has been studied in various way. The study of morphologic characteristics on the head and face has been identified but didn't considered the Variations of age and sex. For the statistic analysis of the correlation between the sasang constitution and the shape of the face, the head-facial part of 182 cases(the group of throughout the age) and 69 cases(the group of age 30 to 40) were measured by Martin's measurement and analysis of a) the measurement value of height and the component ratio from the Gnathion to each part of face by constitution. b) the measurement value of depth and the component ratio from T-projected to each part of the face by constitution. c) the measurement value of breadth and component ratio between each parts of the facial breadth by constitution. d) the characteristics on each part of face by constitution. e) the result of discriminant analysis about the constitution Authors obtained the results from the study as follows: 1. Taeum-In group is characterized by the value of variables had a tendency to maximum value in throughout the age, the charateristics that the total group show is the shape of face is wide shape in horizontally and flat, the nasal breadth is wider than other constitutions, the lips is narrower than Soyang-In in horizontally and thick shape in vertically, and the biogonial breadth is more developed than other constitutions, so lower face is developed. The charateristics that only the age of 30 40 group show is that the lips is thicker than Soeum-IN. The projection of inter-eyebrows is more projected than Soyang-IN. 2. Soeum-IN group is characterized by the value of variables had a tendency to minimum value in throughout the age. The characteristics that the total group show is the lips is thiner than other constitutions, the breadth of eyes is wider than other constitutions, the difference between sellion and nasal breadth is to be little. The charateristics that only the age of 30 40 group show is that the ratio of upper face in physiognomic face is lager than Soyang-IN. 3. The total age group of Soyang-In is characterized by the shape of face is long in vertically and narrow in horizontally, the total eyebrow breadth and lips and philtrun is wider than other constitutions. The charateristics that only the age of 30 40 group is characterized by the projection of sellion is more projected than Taeum-IN. 4. The values which showed significance in both age group V76, V52, V54, V55, V57, V59, V64, V65, V67, V88, V89, V148, V150, V151, V155, V160, V161, V28, V50, V99, V102, V167, V169, V173, V175, V177, V181 are 27 in all. 5. The values which was significant in the age 30 to 40 group V77, V78, V79, V109, V140, V142, V143, V166, V174 are 9 in all.

• 제어로봇시스템학회논문지
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• 제7권4호
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• pp.309-318
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• 2001

In this paper, we describe methods that analyze a human gesture. A human interface(HI) system for analyzing gesture extracts the head and hand regions after taking image sequence of and operators continuous behavior using CCD cameras. As gestures are accomplished with operators head and hands motion, we extract the head and hand regions to analyze gestures and calculate geometrical information of extracted skin regions. The analysis of head motion is possible by obtaining the face direction. We assume that head is ellipsoid with 3D coordinates to locate the face features likes eyes, nose and mouth on its surface. If was know the center of feature points, the angle of the center in the ellipsoid is the direction of the face. The hand region obtained from preprocessing is able to include hands as well as arms. For extracting only the hand region from preprocessing, we should find the wrist line to divide the hand and arm regions. After distinguishing the hand region by the wrist line, we model the hand region as an ellipse for the analysis of hand data. Also, the finger part is represented as a long and narrow shape. We extract hand information such as size, position, and shape.