• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.3
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• pp.250-255
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• 2012

Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.532-539
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• 2010

This paper suggests the system for searching and application is to be in combination between existing hair art area and Image/Video processing area. This proposed system usually saves various hair types into a database, then, users send images of their face over the internet by using WebCam. Finally, they can find the hair types for users.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.73-78
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• 1994

Wear and fracture mode of ceramic tool for hardened SKD11 steel was investigated by face milling in this study. The cutting force and Acoustic Emission(AE) signal were utilized to detect the wear and fracture of ceramic tool. The following conclusions were obtained : (1) The wear and fracture modes of ceramic tool are characterized by three types: \circled1wear which has normal wear and notch wear, \circled2 wear caused by scooping on the rake face, \circled3 large fracture caused by thermal crack in the rake face. (2) The wear behaviour of ceramic tool can be detected by the increase of mean cutting force and the variation of the AE RMS voltage. (3) The catastrophic fracture of ceramic tool can be detected by the cutting force(Fz-component). (4) As the hardness of work material increased, Acoustic Emission RMS value and mean cutting force(Fz) increased linearly, but the tool life decreased.

• Korean Journal of Human Ecology
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• v.14 no.1
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• pp.143-153
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• 2005

The purpose of this research is to study face images according to the difference of facial shape and make-up. A variety of face images can be formulated by computer graphic simulation, combining numerously different facial shapes and make-up styles. In order to check out the diverse images by make-up styles, we applied five forms of eye brows, two types of eye shadows, and three lip shapes to the round-shaped face of a model. The question sheet, used with a operational stimulant in the experiment, contained 28 articles, composed of a pair of bi-ended adjective in 7 point scale. Data were analyzed using Varimax perpendicular rotation method, Duncan's Multiple Range Test, and Three-way ANOVA. After comparing various results of make-up application to various face types, we could find that facial shape, eye-brows, eye-shadow, and lip shapes influence interactively on total facial images. As a result of make-up image perception analyses, a factor structure was divided into mildness, modernness, elegance, and sociableness. Speaking of make-up image in terms of those factors, round form make-up style showed the highest level of mildness. Upward and straight style of make-up had the highest of modernness. Elegance level went highest when eye shadow style was round form and lip style was straight. Lastly, an incurve lip make-up style showed the highest of sociableness.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.2
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• pp.145-155
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• 2023

Objectives: A fit test panel is needed to identify the fit performance of a respirator and its face seal. This is a criterion for selecting subjects that can represent the facial characteristics of users. Although anthropometry data has been developed for people in United States and China it is not yet present in Korea. This study aimed to develop a Korean fit test panel and test headform. Methods: For the 7th and 8th waves of the Size Korea anthropometry data, facial measurements of 11,429 people aged 15 to 69 years were used for analysis. PCA and bivariate panel were classified using the ISO16976-2:2022(E) anthropometrics analysis method. Based on this result, a static headform was developemed and a fit test chamber was constructed. Results: Of the 11,429 Korean people used for principal component analysis, 11,300 were included in the ellipse, marking an acceptance rate of 98.87% on PCA panel. The face types were classified into five types. Among them, a large, medium, and small static headform were printed using a 3D printer. In addition, 10,985 people (96.12%) were included in the bivariate panel based on face length and face width. The y-axis (face length) boundary was 97.87 to 134.59 mm, and the x-axis (face width) boundary was 120.75 to 158.23 mm. Conclusions: Compared to the ISO analysis, the Korean principal component was narrower in the width item (PC1) and longer in the length item (PC2). For the future, it is necessary to conduct a fit test using the developed headform and chamber device to confirm the usefulness of this Korean test panel. Therefore, this study is considered valuable as basic research for Korean test panels.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.6
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• pp.900-911
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• 2015

In this paper, 3D face recognition model is designed by using Polynomial based RBFNN(Radial Basis Function Neural Network) and PNN(Polynomial Neural Network). Also recognition rate is performed by this model. In existing 2D face recognition model, the degradation of recognition rate may occur in external environments such as face features using a brightness of the video. So 3D face recognition is performed by using 3D scanner for improving disadvantage of 2D face recognition. In the preprocessing part, obtained 3D face images for the variation of each pose are changed as front image by using pose compensation. The depth data of face image shape is extracted by using Multiple point signature. And whole area of face depth information is obtained by using the tip of a nose as a reference point. Parameter optimization is carried out with the aid of both ABC(Artificial Bee Colony) and PSO(Particle Swarm Optimization) for effective training and recognition. Experimental data for face recognition is built up by the face images of students and researchers in IC&CI Lab of Suwon University. By using the images of 3D face extracted in IC&CI Lab. the performance of 3D face recognition is evaluated and compared according to two types of models as well as point signature method based on two kinds of depth data information.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.23-39
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• 2018

The purpose of this study was to investigate empirically whether the expected effects of smart work in organizations were different between job types and positions. The development of information technology is demanding innovation of working style within the enterprise. There is a tendency to prefer the face-to-face working style in traditional organizations in the case of some positions or job types. However, many companies are carrying out smart work such as teleworking or telecommuting, flexible working time. But many companies still stick to their existing working methods. There is also the causal relationship between accepting attitudes toward smart work and expectation effects, depending on the position and the job types, even within the same organization. As a result of research, causal relationship analysis showed that the significant factors affecting productivity were teleworking and increasing work efficiency. The national social cost savings were influenced by the improvement of quality of life and flexible working hours. In order to activate communication within the organization, there was a positive effect on the increase of work efficiency. Only flexible working hours between the general manager and subordinates showed a significant difference.

• 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 Fashion Business
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• v.7 no.3
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• pp.14-23
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• 2003

The purpose of this study is to determine affects of hair colors on physical shapes and images through field survey and experimental research. For the purpose, this researcher surveyed 230 female college students residing in Busan about their dyed hair colors, and selected the subjects for the study. Then the researcher an experimental research on the subjects by suing test stimuli. Results of the study can be described as follows: Experiment of the Optical Illusion of Physical Shapes. For all items measured for the experiment, except four ones, if was found that hair colors provided significant efforts of optical illusion factor analysis, included horizontality, outlines of the body and face, a horizontal line of the shoulder, the length, verticality and a horizontal line of the face. According to hair colors, black made the body look slimmer and the face look apparent. White made the body height look low, the outline of the face look clear and the neck or shoulder look fleshed. Female college students whose hair color was orange looked unclear in the body silhouette, bright in the face and broad in the hip and shoulder. Other students whose hair color was red, attracting the line of vision upward most strongly, looked fleshed in the upper body and broad in the face. Finally, blue made the face look dark.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.988-1001
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• 2018

The head and face are the most complicated structures of the human body. However, unlike apparel products, many of the head and face related products are produced in unisex or one-size-fits-all. Therefore, it is necessary to provide a practical analysis that reflects these size structures. This study analyzed head and face measurements of men, women, and both men and women; its purpose lying in clarifying the differences and commonalities between the measurements of men and women and discovering the possibility of integrating analysis on measurements of men and women. 3D face and head measurement data of men and women from 20 to 29 years-old from Size Korea's 6th human body size data were analyzed for this study. The mutual 9 factors were extracted as the results of the three factor analyses (both men and women) separately and men and women integrated. However in the cluster analysis based on the 9 factors, men and women showed mutual characteristics and different landscape in group types and distribution. The commonalities and differences between men and women observed in this study should be applied to the sizes of head and face products.