• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.157-172
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• 2022

Using the adaptation aftereffect paradigm, this study investigated whether adaptation to baby schema features of the face and body could affect facial age perceptions. In Experiment 1, participants were asked to determine whether the test faces that morphed at a certain ratio of a baby face and an adult face were perceived as 'baby' or 'adult' after being adapted to either a baby or an adult face. The result of Experiment 1 showed that after being adapted to baby faces, test faces were assessed as belonging to an adult more often than when being adapted to adult faces. In the subsequent experiments, participants carried out the same facial age judgment task after being adapted to baby or adult body silhouettes (Experiment 2) or hand images (Experiment 3). The results revealed that age perceptions were biased in the direction of the adaptors (i.e., an assimilative aftereffect) after adaptation to body silhouettes (Experiment 2) but did not change after being adapted to hands (Experiment 3). The present study showed that contrastive aftereffects in the perception of facial age were induced by adaptation to the baby face but failed to determine the cross-category transfer of age adaptation from hands or body silhouettes to faces.

• Journal of Broadcast Engineering
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• v.28 no.2
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• pp.238-241
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• 2023

Recently deep learning models are widely used for various tasks such as facial recognition and face editing. Their training process often involves a dataset with imbalanced age distribution. It is because some age groups (teenagers and middle age) are more socially active and tends to have more data compared to the less socially active age groups (children and elderly). This imbalanced age distribution may negatively impact the deep learning training process or the model performance when tested against those age groups with less data. To this end, we propose an age-controllable face synthesis technique using a feature decomposition to classify age from facial images which can be utilized to synthesize novel data to balance out the age distribution. We perform extensive qualitative and quantitative evaluation on our proposed technique using the FFHQ dataset and we show that our method has better performance than existing method.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.182-187
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• 2022

This study aims to study non-rechargeable wrist-type smart bands for those vulnerable to the digital environment. The transition to the digital age means improving the efficiency of human life and the convenience of management. In the digital age, it can be a very convenient infrastructure for the digital generation, but otherwise, it can cause inconvenience. COVID-19 is spreading non-face-to-face culture. The reality is that the vulnerable are complaining of discomfort in non-face-to-face culture. The core of the digital environment is smartphones. Digital life is spreading around smartphones. Technology that drives the digital environment is the core technology of the Fourth Industrial Revolution. The technologies are lot, big data, Blockchain, Smart Mobility, and AI. Related technologies based on these technologies include digital ID cards, digital keys, and nfc technologies. Non-rechargeable wrist-type smart bands based on related technologies can be conceptualized. Through these technologies, blind people can easily access books and manage their ID cards conveniently and efficiently. In particular, access authentication is required wherever you go due to COVID-19, which can be used as a useful tool for the elderly who feel uncomfortable using smartphones. It can also eliminate the inconvenience of the elderly finding or losing their keys.

• Archives of Craniofacial Surgery
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• v.14 no.2
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• pp.107-110
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• 2013

Background: Basal cell carcinoma (BCC) is the most common skin cancer. About 74% cases of basal cell cancer occur on the head and neck. Basal cell carcinoma on the face may have a higher degree of subclinical spread than tumors arising elsewhere. And incompletely excised BCCs become more aggressive when they recur. So the surgical removal and reconstruction of BCC located on the face are important to make perfect curing and cosmetic results. Methods: A retrospective study was done with 128 patients (137 cancers) who were treated with BCC on the face since 1987 to 2011. General data of these cases such as the primary site of cancer, age and sex of the patients, operative methods, and recurrence rate were reviewed. Results: The ratio of men to women was 1:1.4. And 86.9% of the patients with BCC were older than the age of 50 years with the mean age of 65.8 years. The distribution of facial basal cell carcinoma was on the nose, eyelids, cheek, and nasolabial fold. Surgical methods for treatment were local flap, full thickness skin graft, primary closure, and split thickness skin graft. Specifically, local flap consists of V-Y advancement flap, cheek advancement flap, limberg flap, forehead flap, nasolabial flap, rotation flap, transposition flap, bilobed flap, and island flap. Six cases recurred and all of them were treated with reoperation. Conclusion: The authors reviewed facial basal cell carcinoma cases in our hospital. This study might be helpful to choose appropriate operation method to manage BCC on face in Korea.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.103-111
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• 2009

This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.69-80
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• 2005

The anatomical structure of the head and face are influenced by environmental factors. Therefore in this study we had undertaken to determine normal values of the head and face by 3D measurement in the 384 normal Korean male adults to find out craniofacial characteristics of Korean male adults by the age group. From the basic statistical data analysis, vertex-tragion and the length between the pupils were the longest in their twenties and grew shorter in elderly groups. According to the analysis of the craniofacial proportion, the head type of Korean male adults was short-headed. The statistically noticeable differences were found in the measurement of the left and the right sides of face in the age groups of 20, 30, 40, and 50. The results of the factor analysis of the age group showed two groups which were classified to 20, 40, 50 ages and 30, 60 ages. The order of factor analysis was as follows; the perpendicular length, the horizontal length, and the width (from highest).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.779-782
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• 2017

OpenBR is a framework for researching new facial recognition methods, improving existing algorithms, interacting with commercial systems, measuring perceived performance, and deploying automated biometric systems. Designed to facilitate rapid algorithm prototyping, it features a mature core framework, flexible plug-in system, and open and closed source development support. The established algorithms can be used for specific forms such as face recognition, age estimation, and gender estimation. In this paper, we describe the framework of OpenBR and implement facial recognition, gender estimation, and age estimation using supported programs.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.9
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• pp.1224-1231
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• 2018

Automatic age estimation has been used in many social network applications, practical commercial applications, and human-computer interaction visual-surveillance biometrics. However, it has rarely been explored. In this paper, we propose an automatic age estimation system, which includes face detection and convolutional deep learning based on an inception module. The latter is a 22-layer-deep network that serves as the particular category of the inception design. To evaluate the proposed approach, we use 4,000 images of eight different age groups from the Adience age dataset. k-fold cross-validation (k = 5) is applied. A comparison of the performance of the proposed work and recent related methods is presented. The results show that the proposed method significantly outperforms existing methods in terms of the exact accuracy and off-by-one accuracy. The off-by-one accuracy is when the result is off by one adjacent age label to the above or below. For the exact accuracy, the age label of "60+" is classified with the highest accuracy of 76%.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.5
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• pp.261-268
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• 2014

Face detection is essential to the full automation of face image processing application system such as face recognition, facial expression recognition, age estimation and gender identification. It is found that local image features which includes Haar-like, LBP, and MCT and the Adaboost algorithm for classifier combination are very effective for real time face detection. In this paper, we present a face detection method using local pixel direction code(PDC) feature and lookup table classifiers. The proposed PDC feature is much more effective to dectect the faces than the existing local binary structural features such as MCT and LBP. We found that our method's classification rate as well as detection rate under equal false positive rate are higher than conventional one.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1372-1383
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• 2004

The purpose of this study was to analyze the differences in cosmetic purchase behavior according to clothing involvement, age, and face satisfaction. Subjects of this study were the females in Seoul and Kyonggi, who were 20's and 40$.$50's. Questionnaire was used as major method of gathering data. The data were collected from Sep. to Oct., 2003 and analyzed by using SPSS 10.0 with various techniques such as the factor analysis, reliability analysis, mean, percentage, cluster analysis, ANOYA, Duncan test, t-test. Cronbach's $\alpha$ and X$^2$-test. The results of this study were as follows: 1. The cosmetic purchase behaviors were categorized in 4 different factors by the factor analysis;'fashion pursuit' purchase, 'conspicuous pursuit' purchase, 'brand pursuit' purchase and 'rational pursuit' purchase. 2. The consumers were classified into four groups by clothing involvement; 'high clothing involvement' group, 'low fashion involvement' group, 'middle clothing involvement' group and 'low clothing involvement' group. 3.'High clothing involvement' group was the highest in 'fashion pursuit' and 'conspicuous pursuit' purchase factors, 'Low fashion involvement' group was the lowest in 'fashion pursuit' purchase factor. Conclusionally, 'fashion pursuit' and 'conspicuous pursuit' purchase behaviors were setting more aggressive as clothing involvement was getting higher. 4. The differences in cosmetic purchase behavior according to the age revealed that 40'$.$50s' basic cosmetic purchase behavior was more 'brand pursuit' oriented than 20's. 5. The result of differences in cosmetics purchase behavior according to the face satisfaction was no noticeable difference.