• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.173-193
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• 2003

The purpose of this study is to expand understanding among librarians of the importance of caricatures, cartoons and comics in the library collection. To do so, the writer explores the characteristics, meaning, artistic value, and benefits of this realm. The writer also examines traditional as well as changing attitudes of the public toward caricatures cartoons and comics. As this study progresses. it will prove that caricatures. cartoons and comics are very important cultural products of our time, to which all libraries should pay more attention. Thus the writer urges that the library should make a good collection in this are and make it available to the public.

• Journal of the Korea Fashion and Costume Design Association
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• v.3 no.2
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• pp.75-86
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• 2001

The article is alms to investigate the characteristics, the originality, and the interest of fashion design of costume play, which is recently specifically popularized among young fashion mania. The influence of commercialization power of the Disneyland and the animation characters of Japanese caricatures makes the costume play to be one of the main new generation culture. Since the costume play just begins at this moment, the full understanding of the costume play is hard because of the small amount of the materials and happenings of the phenomena. However it reveals the design trends and creativity of the new generation. As the investigation of costume play fashion and the types of costume play, the following results are obtained. 1. The originality of the costume play is thought to be induced from the mask which is used against the ghost in primitive ages, the fancy parade of halloween festival, commercial advertisements of Disneyland, the Japanese caricatures, and the animation games. 2. The distinctive characteristics of Korean costume play shows the massive behaviour, which is different from the individualized costume play in Japan. This facts show the parts of the interest culture of the persons who has the equal interest. The costume play is applied as the sound showing culture, in which the young generation express and enjoy themselves by"kki" - the passion of young energy. 3. The boom of costume play introduce the increased number of costume play shop, pro model, and designer. It also introduce the interest of the new fashion design for the young generations. Thus it is expected the new fashion infra structure in near future.ar future.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.5
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• pp.183-189
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• 2002

In this paper, we propose an algorithm to extract the E-mail address in calling card images. Firstly, text regions are separated from background. in the image. To do this, the properties of e-mail addresses and the texture features in the image is used. And then, each text region is explored to find the candidates of e-mail region. Finally, each candidate is divided into characters to find at-symbol(@), that is, e-mail region. The experimental results show hit-ratio over 93.3％ for the various kind of calling cards containing different fonts, background images, caricatures.

• Journal of the Korea Computer Graphics Society
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• v.12 no.4
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• pp.17-22
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• 2006

We present the technique that automatically generates caricatures from input face images. We get the mean-shape of training images and extract input image's feature point using AAM(Active Appearance Model). From literature of caricature artists, we define exaggeration rules and apply our rules to input feature points, then we can get exaggerated feature points. To change our results into cartoon-like images, we apply some cartoon-stylizing method to input image and combine it with facial sketch. The input image is warped to exaggerated feature point for final results. Our method can automatically generate a caricature image while it minimizes user interaction.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1534-1538
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• 2005

In this paper, we propose a method to detect contours of a face, eyes, and a mouth of a person in the color image in order to make an avatar automatically. First, we use the HSI color model to exclude the effect of various light conditions, and find skin regions in the input image by using the skin color defined on HS-plane. And then, we use deformable templates and genetic algorithm (GA) to detect contours of a face, eyes, and a mouth. Deformable templates consist of B-spline curves and control point vectors. Those represent various shapes of a face, eyes and a mouth. GA is a very useful search algorithm based on the principals of natural selection and genetics. Second, the avatar is automatically created by using GA-detected contours and Fuzzy C-Means clustering (FCM). FCM is used to reduce the number of face colors. In result, we could create avatars which look like handmade caricatures representing user's identity. Our approach differs from those generated by existing methods.

• The Research Journal of the Costume Culture
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• v.15 no.3 s.68
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• pp.383-393
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• 2007

The purpose of this study is to examine the expressional characteristics of T-shirts design using digital printing. Through digital printing system, a variety of patterns and pictures can be printed on T-shirts in a relatively short time. At this backdrop, the result of this research can aid to develop design of T-shirts with a high value added on it. The result was that the printing methods were categorized into borrowing the pictures of masterpieces, applying photography or caricatures, introducing graffiti or lettering, and representing industrial arts. In conclusion, digital printing system unlike the established printing method can have almost an unlimited range of expressing various kinds of pictures and patterns, so that designers may develop high value-added differentiated T-shirts. In other words, by creating a variety of designs with no limit of its quantity, its expressive range can be more widened and with an increased development of plotting machines, we may manufacture more varied kinds of products in a small quantity at a faster rate.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.425-428
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• 2009

We have researched and developed the caricature generation system PICASSO. PICASSO outputs the deformed facial caricature by comparing input face with prepared mean face. We specialized it as PICASSO-2 for exhibiting a robot at Aichi EXPO2005. This robot enforced by PICASSO-2 drew a facial caricature on the shrimp rice cracker with the laser pen. We have been recently exhibiting another revised robot characterized by a brush drawing. This system takes a couple of facial images with CCD camera, extracts the facial features from the images, and generates the facial caricature in real time. We experimentally evaluated the performance of the caricatures using a lot of data taken in Aichi EXPO2005. As a result it was obvious that this system were not sufficient in accuracy of eyebrow region extraction and mouth detection. In this paper, we propose the improved methods for eyebrow region extraction and mouth detection.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.152-160
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• 2010

Modern comics find their roots in caricatures, which have a basic element of comics as a combination of wrings and drawings. In three East Asian countries, new media, comics have been developed by joining modern arts and cartoons which is a news form of western comics. As modern comics have evolved according to situations of the three countries, they expand from the satire on the system, foreign invasions, and internal corruption to the enlightenment of the people. However, the criticism on the system lead to the oppression, and the imperialism in East Asian countries enforce the agitation, war engagement, propaganda of the colonialism on the comics. Current East Asian comics have been occupying the largest part in the world comics, and have their roots in the modern comics. So it is meaningful to investigate the characteristic of modern East Asian comics.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.110-115
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• 2005

This paper proposes the method to detect contours of a face, eyes and a mouth in a color image for making an avatar automatically. First, we use the HSI color model to exclude the effect of various light condition, and we find skin regions in an input image by using the skin color is defined on HS-plane. And then, we use deformable templates and Genetic Algorithm(GA) to detect contours of a face, eyes and a mouth. Deformable templates consist of B-spline curves and control point vectors. Those can represent various shape of a face, eyes and a mouth. And GA is very useful search procedure based on the mechanics of natural selection and natural genetics. Second, an avatar is created automatically by using contours and Fuzzy C-means clustering(FCM). FCM is used to reduce the number of face color As a result, we could create avatars like handmade caricatures which can represent the user's identity, differing from ones generated by the existing methods.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.1
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• pp.82-89
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• 2015

The researches of image recognition have been processed traditionally. Especially, face recognition technology has been received attractions with advance and applied to various areas according as camera sensor embedded into many devices such as smart phone. In this study, we design and develop a feature vector generation technique of face for making animation caricatures using methods for face detection which are previous stage of face recognition. At first, we detect both face region and detailed eye region of component element by Viola&Johns's realtime detection method which are called as ROI(Region Of Interest). And then, we generate feature vectors of eye region by utilizing factors as opposed to the periphery and by using appearance information of eye. At this point, we focus on the embedded information in many color spaces to overcome the problems which can be occurred by using one color space. We propose a feature vector generation method using information from many color spaces. Finally, we experiment the test of feature vector generation by the proposed method with enough quantity of sample picture data and evaluate the proposed method for factors of estimating performance such as error rate, accuracy and generation time.