• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.2
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• pp.11-20
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• 2010

In this paper we propose a face detection system which consists of a method of face candidate extraction using skin color and a method of face verification using the feature of facial structure. Firstly, the proposed extraction method of face candidate uses the image segmentation and merging algorithm in the regions of skin color and the neighboring regions of skin color. These two algorithms make it possible to select the face candidates from the variety of faces in the image with complicated backgrounds. Secondly, by using the partial face classifier, the proposed face validation method verifies the feature of face structure and then classifies face and non-face. This classifier uses face images only in the learning process and does not consider non-face images in order to use less number of training images. In the experimental, the proposed method of face candidate extraction can find more 9.55% faces on average as face candidates than other methods. Also in the experiment of face and non-face classification, the proposed face validation method obtains the face classification rate on the average 4.97% higher than other face/non-face classifiers when the non-face classification rate is about 99%.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.3
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• pp.729-733
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• 2004

Jaeum-Dan was reported new anti-aging effect formula previously. We investigated the physiological effects on human skin with Jaeum-Dan essence (JED). We made a skin application product as essence form contained oriental herbs, and measured various physiological effects such as skin moisture contents, red blood cell flow rates, skin surface temperature, corneocyte exfoliation and skin intensity when volunteers(female, n=40) used the application product for 4 weeks. The results were as follows: The skin moisture contents were not only increased in human face skin through using the product, but also red blood cell flow :rates in face skin were increased. After using the essence, the face skin temperature rose and corneocyte exfoliation was decreased. Furthermore the upper dermis intensity of skin in female face was subsequently increased 4 weeks later. The results indicate that the application product containing JED was improved the physiological effects of human facial skin..

• Journal of Korea Multimedia Society
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• v.18 no.5
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• pp.610-619
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• 2015

*In this paper, we propose a real-time face tracking system using an adaptive face detector and a tracking algorithm. An image is divided into the regions of background and face candidate by a real-time updated skin color identifying system in order to accurately detect facial features. The facial characteristics are extracted using the five types of simple Haar-like features. The extracted features are reinterpreted by Principal Component Analysis (PCA), and the interpreted principal components are processed by Support Vector Machine (SVM) that classifies into facial and non-facial areas. The movement of the face is traced by Kalman filter and Mean shift, which use the static information of the detected faces and the differences between previous and current frames. The proposed system identifies the initial skin color and updates it through a real-time color detecting system. A similar background color can be removed by updating the skin color. Also, the performance increases up to 20% when the background color is reduced in comparison to extracting features from the entire region. The increased detection rate and speed are acquired by the usage of Kalman filter and Mean shift.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.14 no.2
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• pp.73-79
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• 2008

Objectives : We investigated the correlation of the skin color to blood circulation on the face of Korean female by noninvasive-skin measuring devices. Methods : Korean female(37.47${\pm}$3.66 years, n=36) aged 30-45 years were participated in this study. We measured the skin color of the face with Spectrophotometer CM2600d (Minolta, Japan) and the skin blood flow with Laser Doppler Imaging-Periscan PIM II (Perimed AB, Sweden). The skin color and blood circulation of three groups (30-35 years, 36-40 years, 41-45 years) divided on age were analyzed by paired-t test and regression analysis. Results : The L* values of the skin were decreased and the a* values were increased significantly with age. This means that the more age increase, the more the skin is dark and red. But the skin blood flow was not significantly different with age and skin color. Conclusions : In the oriental medicine, It was reported that the face of the female over 35 years is changed gradually haggard and the blood circulation is decreased. In our study, the blood circulation was not changed and the skin color was dark and red with increasing the age. We think this symptom resulted from the better nutrition than the past, the change of the blood-quality and this changes were too sensitive to be measured by Laser Doppler Imaging system.

• Journal of Korea Multimedia Society
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• v.8 no.5
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• pp.633-640
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• 2005

In this paper, we propose an adaptive face region extraction algorithm based on skin color information. It consists oi the extraction of face candidate region and projection step. In the step of face candidate region extraction, we extract the pixels which are regarded as the candidate skin color pixels by using the given range. Then, the ratio between the total pixels and the extracted pixels is calculated. According to the ratio, we adaptively decide the range of the skin color and extract face candidate region. In the projection step, we project the extracted face candidate region into vertical direction to estimate the width of the face. Then the redundant parts are efficiently removed by using the estimated face width. And the extracted face width information is used at the horizontal projection step to extract the height of the face. From the experiment results for the various images, the proposed algorithm shows more accurate results than the conventional algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.592-595
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• 2009

In this paper, we propose a face detection technique for still pictures which sequentially uses a skin-color model and a support vector machine (SVM). SVM is a learning algorithm for solving the classification problem. Some studies on face detection have reported superior results of SVM over neural networks. The SVM method searches for a face in a picture while changing the size of the window. The detection accuracy and the processing time of SVM vary largely depending on the complexity of the background of the picture or the size of the face. Therefore, we apply a face candidate area detection method using a skin-color model as a preprocessing technique. We compared the method using SVM alone with that of the proposed method in respect to face detection accuracy and processing time. As a result, the proposed method showed improved processing time while maintaining a high recognition rate.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.311-321
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• 2007

For fast and robust face detection, this paper proposes an approach for face detection using fusion of heterogeneous template matching. First, we detect skin regions using a model of skin color which covers various illumination and races. After reducing a search space by region labelling and filtering, we apply template matching with skin color and edge to the detected regions. Finally, we detect a face by finding the best choice of template fusion. Experimental results show the proposed approach is more robust in skin color-like environments than with a single template matching and is fast by reducing a search space to face candidate regions. Also, using a global accumulator can reduce excessive space requirements of template matching.

• Journal of Sasang Constitutional Medicine
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• v.19 no.3
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• pp.126-143
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• 2007

1. Objectives The purpose of this study is to find out the grade of practical use, the important element and the significant characteristics of Sasangin' s face, voice, skin and pulse diagnostic impression, in Sasang constitutional clinical diagnosis. 2. Methods We analysed the survey data about Sasangin' s face, voice, skin and pulse diagnostic impression, drawn up by specialist in Sasang constitutional medicine. 3. Results and Conclusions (1) In the application degree of face feature, the case which it was applied with 20-40% and 40-60% were 16 people(43.2%) respectively. In voice, the case applied with 0-20% was 19 people(51.4%), in skin, 0-20% and 20-40% were 14 people(37.8%) respectively and in pulse diagnosis, 0-20% were 25 people(73.0%). (2) In constitutional diagnosis, the important element of face were 'frontal whole shape', 'whole impression' and 'size and shape of eye, ear, mose and mouth', the important element of voice 'speed of speech', 'purity and impurity' and 'pitch', the important element of skin 'thickness', 'feel of touch' and 'size of skin pores' and the important element of pulse diagnosis 'speed of pulse', 'sinking and floating' and 'weakness and firmness'. (3) The important face characteristics of Taeyangin were 'bright eye', 'broad forehead' and 'strong impression', Soyangin 'protruding forehead', 'thin and small lips', 'narrowing and sharp chin', Taeumin 'thick lips', 'flat face', 'large eye, nose, ear and mouth' and Soeumin 'long and slender face', 'downward slanting eyes' and 'small eye, nose, ear and mouth', The important voice characteristics of Taeyangin were 'loud' and 'clear', Soyangin 'rapid' and 'high-pitched tone', Taeumin 'chick', 'slow' and 'low-pitched tone' and Soeumin 'small and feeble' and 'slow'. The important skin characteristics of Taeyangin were 'thin' and 'white', Soyangin 'thin', 'smooth' and 'elastic', Taeumin 'thick', 'large skin-pore', 'coarse' and Soeumin 'soft', 'thin' and 'subtle skin-pore'. The important pulse characteristics of Taeyangin were 'rapid' and 'large', Soyangin 'rapid' and 'floating', Taeumin 'tense', 'long' and 'solid' and Soeumin 'fine', 'weak' and 'slow'.

• Journal of Industrial Technology
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• v.28 no.B
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• pp.143-148
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• 2008

A real-time face detection is to find human faces robustly under the cluttered background free from the effect of occlusion by other objects or various lightening conditions. We propose a face detection system for real-time applications using wavelet decomposition method based on Gabor features. Firstly, skin candidate regions are extracted from the given image by skin color filtering and projection method. Then Gabor-feature based template matching is performed to choose face cadidate from the skin candidate regions. The chosen face candidate region is transformed into 2-level wavelet decomposition images, from which feature vectors are extracted for classification. Based on the extracted feature vectors, the face candidate region is finally classified into either face or nonface class by the Levenberg-Marguardt back-propagation neural network.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.45 no.4
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• pp.373-380
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• 2019

There are many differences in tran-epidermal water loss (TEWL), skin water contents, and skin elasticity, etc between face and forearm skin. In particular, our previous studies showed that elasticity of face skin was significantly differed from forearm depending on full hydration. So, we have studied the surface properties of corneocyte using atomic force microscopy (AFM), assuming that the differences between face and forearm skin would be associated with the surface properties of corneocyte. The surface roughness of corneocyte and villus-like projections (VPs) were measured. Furthermore, qualitative comparison among the surface of face, forearm, and lip corneocyte was performed. Corneocytes were collected by tape-stripping on both face and forearm of 8 volunteers, and the bottom surface of corneocytes were measured at 40 ㎛ × 40 ㎛ using AFM. Results showed that the lower surface roughness of face corneocytes was 388.34 ± 86.189 nm, and that of forearm corneocytes was 662.27 ± 224.257 nm, which confirmed that the lower surface of forearm corneocytes was more rough than that of face corneocytes (p < 0.001). Compared with the amount of VPs, lip corneocytes were the highest followed by face corneocytes, and forearm corneocytes were the lowest. From these results, it is conclued that the surface properties of corneocytes are somewhat involved in the property differences between the face and the forearm skin and VPs can be a useful parameter for the study of corneocyte by site. In addition, AFM is a very useful device for the comparative study of nano-structural differences on the surface of corneocytes. More studies can lead to develop a new evaluation method of corneocytes.