• 감성과학
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• 제4권1호
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• pp.7-14
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• 2001

Based on the past research works on the relationship between face type and personality, personality and purchasing behavior, personality and preference for color, face type and preference for color, we assumed that there could be certain differences in preferred color tone in purchasing automobile according to face type. Objective of this paper is to analyze what differences there are preferred color tones of purchasing automobile by face type. The questionnaires on preferred color tone of automobile were investigated, and the tone of color were classified into light, dark, brilliant, plain tones, and the differences of preferred color tone of purchasing automobile were analyzed by the face types. The result showed the facts that compared with the other types, the rectangular face type preferred the light tone of color, whereas the other face types little showed a distinctive inclination for a particular color tone. Results of this research could be utilized for automobile sales policy for materials of research into color tones, provided some problems are fixed and the concrete researches into relationship between face type and personality, purchasing behavior, preference for color are carried out.

• 대한한의진단학회지
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• 제17권2호
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• pp.131-155
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• 2013

Objectives A study on the importance of observing face color in the Dongeuibogam and the other things to know when we observe face color. Methods We used Deyuk Dongeuibogam of Dongeuibogam publishing company from original photographic edition. Results (1) In all section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the chapters related with observing face color were fifty-one. In Naekyungpyeon, the chapters related with observing face color were nineteen(37%). In Oehyeongpyeon, the chapters related with observing face color were ten(20%). In Japbyoungpyeon, the chapters related with observing face color were twenty-two(43%). In all section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the statements related with observing face color were three-hundred and nine. In Naekyungpyeon, the statements related with observing face color were sixty-four(21%). In Oehyeongpyeon, the statements related with observing face color were fifty-two(17%). In Japbyoungpyeon, the statements related with observing face color were one hundred ninety-three(62%). (2) In each chapter, the number of statement related with observing face color was studied. Pediatric Chapter (75) were the most common, followed by The way of finding the cause of a disease (27) Face (26) Cold (24) Weak&Fatigue (12) Phlegm, Jaundice (8) Nose, Worm, Chronic indigestion (7) Mouth&Tongue, Woman, Stool (6) Bodyshape, Liver, Heart, Kidney, Cough (5) Eye, Carbunculosis (4) Blood, Voice, Spleen, Lung, Chest, Fire, Edema, Detoxification (3) in order. (3) In each section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the rate of chapter related with observing face color was studied. Naekyungpyeon(73%) was the highest. Japbyoungpyeon(61%). Oehyeongpyeon(38%) was the lowest. Conclusions The importance of each chapter for observing face color in the Dongeuibogam was studied. In addition, the entire ocular inspection, the part ocular inspection, moisture and the difference of skin according to the personal constitution should be considered. There are not only the important parts of the past that does not mean but also the unimportant parts of the past that are meaningful now. Additional studies will be needed for the latter.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.49-52
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• 2002

This paper presents a fast algorithm for face detection from color images on internet. We use Mahalanobis distance between standard skin color and actual pixel color on IQ color space to segment skin color regions. The skin color regions are the candidate face region. Further, the locations of eyes and mouth regions are found by computing average pixel values on horizontal and vertical pixel lines. The geometry of mouth and eye locations is compared to the standard face geometry to eliminate false face regions. Our Method is simple and fast so that it can be applied to face search engine for internet.

• 대한전자공학회논문지SP
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• 제45권6호
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• pp.38-43
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• 2008

피부색 정보는 컬러영상에 포함된 얼굴영역을 검출하는 중요한 요소이다. 피부색 정보로 부터 생성된 통계 피부색 모델을 이용하여 얼굴영역을 검출할 수 있다. 하지만 다른 피부색 부분이 포함되어 있는 컬러영상에서는 일반적인 통계 피부색 모델만으로 정확한 얼굴영역 검출을 할 수 없는 단점을 가진다. 본 논문에서는 다른 피부색 부분이 포함되어 있는 다양한 컬러 영상에서 얼굴영역만을 정확히 검출하기 위한 방법을 제안한다. 제안된 방법은 YCbCr 피부 컬러 모델기반의 피부색 가우시안 분포를 적용하여 얼굴 후보영역 설정 하였고, 영상내의 잡음 부분과 얼굴 영역이외의 부분을 제거하기 위해 수학적 형태학을 적용하였다. 그리고 Haar-like 특성을 이용하여 정확한 얼굴 검출을 수행하였다. 모의실험 결과 제안된 방법이 목이나 팔과 같이 유사한 피부색을 포함한 영상과 다양한 크기의 영상에서도 효과적인 얼굴영역 검출하는 우수함을 보였다.

• 산업경영시스템학회지
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• 제24권62호
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• pp.59-67
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• 2001

Based on the past research works on the relationship between face types and personality, personality and purchasing behavior, personality and color preference, face types and preference color, the author made a surmise that there could be any differences in color preference of purchasing automobiles according to face types. Objective of this research is to analyze what differences there are preferred colors of purchasing automobile according to face types. The questionnaires for preferred color of purchasing automobile were carefully surveyed, which was classified again by the face types. The result showed the facts, that the reverse-triangle face type preferred red color, the rectangular type yellow one, the round type green one, the diamond type the blue one, respectively. We suggested that the result could be utilized in establishing the automobile sales policy, provided some problems are fixed and the concrete researches into the factors that have influence on buying patterns and into the preferred color are carried out.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.594-600
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• 2003

In this paper, we propose a detection method for facial features in color images with various backgrounds and face poses. To begin with, the proposed method extracts face candidacy region from images with various backgrounds, which have skin-tone color and complex objects, via the color and edge information of face. And then, by using the elliptical shape property of face, we correct a rotation, scale, and tilt of face region caused by various poses of head. Finally, we verify the face using features of face and detect facial features. In our experimental results, it is shown that accuracy of detection is high and the proposed method can be used in pose-invariant face recognition system effectively

• 한국IT서비스학회지
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• 제6권3호
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• pp.241-249
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• 2007

This paper describes a real-time face tracking system using effective detector and Kalman filter. In the proposed system, an image is separated into a background and an object using a real-time updated face color for effective face detection. The face features are extracted using the five types of simple Haar-like features. The extracted features are reinterpreted using Principal Component Analysis (PCA), and interpreted principal components are used for Support Vector Machine (SVM) that classifies the faces and non-faces. The moving face is traced with Kalman filter, which uses the static information of the detected faces and the dynamic information of changes between previous and current frames. The proposed system sets up an initial skin color and updates a region of a skin color through a moving skin color in a real time. It is possible to remove a background which has a similar color with a skin through updating a skin color in a real time. Also, as reducing a potential-face region using a skin color, the performance is increased up to 50% when comparing to the case of extracting features from a whole region.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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• pp.173-176
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• 2002

This paper describes an implementation of fast face detection algorithm. This algorithm can robustly detect human faces with unknown sizes and positions in complex backgrounds. This paper provides a powerful face detection algorithm using skin color segmenting. Skin Color is modeled by a Gaussian distribution in the HSI color space among different persons within the same race, Oriental. The main feature of the Algorithm is achieved face detection robust to illumination changes and a simple adaptive thresholding technique for skin color segmentation is employed to achieve robust face detection.

• 동의생리병리학회지
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• 제26권1호
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• pp.128-132
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• 2012

In this paper, we performed a quantitative analysis of face color according to the health status of four constitution types. 205 Korean male in age from 65 to 80 were participated in this study and 85 subjects were finally selected for the analysis. Imaging process techniques were employed to extract feature variables associated with face color from a frontal facial image. Using the extracted feature variables, the correlations between face color and health status, face color and health status in each constitution type, and face color and four constitution types in heath status group were investigated. As the result, it was observed that the face color of healthy group contained more red component and less blue component than unhealthy group. For each constitution type, the face parts showing a significant difference according to health status were different. This is the first work which reports the correlation between the face color and health status of four constitution types with a objective method, and the numerical data for the face color according to the health status of four constitution types will be an objective standard to diagnose a patient's health status.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.49.1-49
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• 2001

The skin color model is a very important concept in face detection, face recognition and face tracking. Usually, this model is obtained by estimating a probability density function of skin color distribution. In many cases, it is assumed that the underlying density function follows a Gaussian distribution. In this paper, a new method for non-parametric estimation of the probability density function, by using feed-forward neural network, is used to estimate the underlying skin color model. By using this method, the resulting skin color model is better than the Gaussian estimation and substantially approaches the real distribution. Applications to face detection and face ...