• Journal of KIISE:Software and Applications
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• v.34 no.7
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• pp.681-687
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• 2007

Face recognition technique is very popular for a personal information security and user identification in recent years. However, the face recognition system is very hard to be implemented due to the difficulty where change in illumination, pose and facial expression. In this paper, we consider that an illumination change causing the variety of face appearance, virtual image data is generated and added to the D-LDA which was selected as the most suitable feature extractor. A less sensitive recognition system in illumination is represented in this paper. This way that consider nature of several illumination directions generate the virtual training image data that considered an illumination effect of the directions and the change of illumination density. As result of experiences, D-LDA has a less sensitive property in an illumination through ORL, Yale University and Pohang University face database.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.904-906
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• 2016

In this paper, advertising and public relations services to provide kincet to implement a control system using face recognition and media. Traditionally, this unilateral system for delivering advertisements to consumers, is currently directed interactive ads. In other words, interactive advertising service that offers bi-directional communication. In the proposed system, the kincet using face recognition, to recognize faces with eyes, mouth, jaws and eyebrows. Presently used kinect version is the face of instability in the recognition and accurately is difficult to separate the three parts of the jaw, eyes, eyebrows only leverage. the classification has an easy immoyangProvide control services by separating the media, Hwanam-myeon, laughing. Also, consumers understand the expression of the control of the media and using picture for advertising to consumers through the transfer on both had indelibly imprinted by advertising.Effective are expected to appear.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.212-214
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• 2021

In a society with Covid-19 as part of our daily lives, we had to adapt ourselves to a new reality to maintain our lifestyles as normal as possible. An example of this is teleworking and online classes. However, several issues appeared on the go as we started the new way of living. One of them is the doubt of knowing if real people are in front of the camera or if someone is paying attention during a lecture. Therefore, we encountered this issue by creating a 3D reconstruction tool to identify human faces and expressions actively. We use a web camera, a lightweight 3D face model, and use the 2D facial landmark to fit expression coefficients to drive the 3D model. With this Model, it is possible to represent our faces with an Avatar and fully control its bones with rotation and translation parameters. Therefore, in order to reconstruct facial expressions during online meetings, we proposed the above methods as our solution to solve the main issue.

• Korean Journal of Cognitive Science
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• v.14 no.4
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• pp.33-42
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• 2003

This paper presents a new system for facial expression recognition based in dimension model of internal states. The information of facial expression are extracted to the three steps. In the first step, Gabor wavelet representation extracts the edges of face components. In the second step, sparse features of facial expressions are extracted using fuzzy C-means(FCM) clustering algorithm on neutral faces, and in the third step, are extracted using the Dynamic Model(DM) on the expression images. Finally, we show the recognition of facial expression based on the dimension model of internal states using a multi-layer perceptron. The two dimensional structure of emotion shows that it is possible to recognize not only facial expressions related to basic emotions but also expressions of various emotion.

• Korean Institute of Interior Design Journal
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• v.16 no.5
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• pp.22-29
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• 2007

In the face of the new dimension of the developed technology $L{\acute{a}}szl{\acute{o}}$ Moholy-Nagy, a master of 'the Bauhaus Akademie', made an effort to constitute the integrated life of the intellectual and the emotional by translating the experiences of the new technology Into the emotional language and the cultural realities. As an artist who criticized in the constructivist ethos the conception of the image as the imitation and brought the Image movements into relief Moholy-Nagy groped for a new expressive idea that can be called as 'the idea of the non-representational spatial expression' in which the expressive elements interact one another. His idea of the non-representational spatial expression that is made up of the pure forms of the nature, the direct colors and the spatial elements is oriented to incorporate the modern realities, i.e. the space experiences as the complicated sensory workings and the new technology as the measure of the human thinking, and further to see where they will move to. This study is on the one hand purposed to explicate the fundamental idea of the non-representational spatial expression that was poorly illuminated in spite of its importance in the respects of the design and art history, on the other to re-actualize the implications of the space-design which are contained in it.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.9
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• pp.1547-1553
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• 2008

This paper presents a method that generates various facial expressions of vector graphic character by using the simplified principle component vector. First, we analyze principle components to the nine facial expression(astonished, delighted, etc.) redefined based on Russell's internal emotion state. From this, we find principle component vector having the biggest effect on the character's facial feature and expression and generate the facial expression by using that. Also we create natural intermediate characters and expressions by interpolating weighting values to character's feature and expression. We can save memory space considerably, and create intermediate expressions with a small computation. Hence the performance of character generation system can be considerably improved in web, mobile service and game that real time control is required.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.523-528
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• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.2
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• pp.253-258
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• 2012

Facial expression was an important communication methods. In oriental medicine, according to the emotion the face has changed shape and difference occurs in physiology and pathology. To verify such a theory, we studied the correlation between emotional facial expressions and meridian and collateral flow. The facial region divided by meridian, outer brow was Gallbladder meridian, inner brow was Bladder meridian, medial canthus was Bladder meridian, lateral canthus was Gallbladder meridian, upper eyelid was Bladder meridian, lower eyelid was Stomach meridian, central cheeks was Stomach meridian, lateral cheeks was Small intestine meridian, upper and lower lips, lip corner, chin were Small and Large intestine meridian. Meridian and collateral associated with happiness was six. This proves happiness is a high importance on facial expression. Meridian and collateral associated with anger was five. Meridian and Collateral associated with fear and sadness was four. This shows fear and sadness are a low importance on facial expression than different emotion. Based on yang meridian which originally descending flow in the body, the ratio of anterograde and retrograde were happiness 3:4, angry 2:5, sadness 5:3, fear 4:1. Based on face of the meridian flow, the ratio of anterograde and retrograde were happiness 5:2, angry 3:4, sadness 3:5, fear 4:1. We found out that practical meridian and collateral flow change by emotion does not correspond to the expected meridian and collateral flow change by emotion.

• Korean Institute of Interior Design Journal
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• v.26 no.3
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• pp.91-100
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• 2017

The rapid growth of Korean-style buffet in recent years has increased the size of corporate investment. Under this circumstance, businesses make various marketing efforts while highlighting the features and advantages of their brands. Against this backdrop, this study aims to understand which space branding has been applied to the Korean-style buffet through case studies and to propose a method of application of space branding to increase sales in an effective manner in the future. First, the research is theoretical examination and case studies with focus on the characteristics of expressions of Korean-style buffet space branding. Basically, upon completion of examining the concept and the characteristics of expressions of the Korean-style buffet and analyzing the concept of space branding, the components of space branding have been reconstructed based on preceding studies on space branding and then have been applied to each brand space. Also, the hands-on experience of the characteristics of expression of the Korean-style buffet with space branding incorporated in it and prepared a checklist via visual inspections. And then, the field surveys based on these examinations and took approach of drawing a conclusion based on the results analysis conducted by using the SPSS statistical program. Through preceding studies, the three components of space branding, that is, sensory element, emotional element, and cognitive element have been reconstructed before proceeding with this study, which has obtained five major findings as a conclusion. First, the sensory element should be given elements differentiated enough to attract consumers' attention along with a sustainable effort to have brand image imprinted in their mind. Second, in terms of emotional element, the study has found that the brand experience oriented toward interest and participation results in higher utility frequency. Third, the study has found that the cognitive element should seek consistency in communicating with consumers with focus on face-to-face contact on the display in space. Fourth, it has been found that arranging independent spaces is necessary to attract consumers' participation. Finally, the study has identified in which location area of buffet the sensory, emotional, and cognitive elements have placed a significant weight.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.89-101
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• 2014

In this paper, we proposed a new local micro pattern, Signed Local Directional Pattern(SLDP). SLDP uses information of edges to represent the face's texture. This can produce a more discriminating and efficient code than other state-of-the-art methods. Each micro pattern of SLDP is encoded by sign and its major directions in which maximum edge responses exist-which allows it to distinguish among similar edge patterns that have different intensity transitions. In this paper, we divide the face image into several regions, each of which is used to calculate the distributions of the SLDP codes. Each distribution represents features of the region and these features are concatenated into a feature vector. We carried out facial expression recognition with feature vectors and SVM(Support Vector Machine) on Cohn-Kanade and JAFFE databases. SLDP shows better classification accuracy than other existing methods.