• The Research Journal of the Costume Culture
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• v.8 no.2
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• pp.197-204
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• 2000

With the current of the end of a century and social, economic, political, and cultural turbulence, people take advantage of the various ways to express their stagnation. This study introduces the term representativity and it will explain the men's fashion of the end of a century. On a theoretical basis, the concept of the representativity, image, symbol and imitation which are used as a tool for expression will be examined, and together with this, inner representation and outer representation will be categorized. The inner representation of the men's fashion in the end of a century can be taken for the purpose of connecting the image of masculinity. The image of masculinity is widely spread owing to the mass communication of a consumption-oriented society, so its hard to define that image as one thing specific. Hence, in order to discuss the male gender and mens fashion, New Man phenomenon should be noticed of. 1980's New Man influence has lasted till now. New Man images were largely categorized into two images like New Lad and Iron John after the mid 1990's. Therefore, the image of masculinity is largely classified New lad, who desires success and pursues the hedonistic life style and Iron John, who enjoys thrill and follows economical life style. The image of masculinity has influence on the outer representation how it is imitated and symbolized via many designer's works and street fashion. Two masculinity images are dominant over the men's fashion of the end of a century. One is inhumane and rational corporate power look that stems from symbolization and imitation of New Lad. The other is outdoor casual that originated from the symbolization and imitation of Iron John.

• Journal of the Korea Society of Computer and Information
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• v.10 no.1 s.33
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• pp.223-229
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• 2005

In this paper a coarse-to-fine optical flow detection method is proposed. Provided that optical flow gives reliable approximation to two-dimensional image motion, it can be used to recover the three-dimensional motion, but usually to set the reliable optical flows are difficult. The proposed algorithm uses Horn's algorithm for detecting initial optical flow, then Thin Plate Spline is introduced to warp a image frame of the initial optical flow to the next image frame. The optical flow for the warped image frame is again used iteratively until the mean square error between two image sequence frames is lowered. The proposed method is experimented for the real moving picture image sequence. The proposed algorithm gives dense optical flow vectors.

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.10a
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• pp.233-233
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• 2009

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.97-102
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• 2002

In this paper, we propose the technique for recognizing the human s emotion by using the CCD color image. To do this, we first get the face image by using skin-color from the original color image acquired by the CCD camera. And we propose the method for finding man s feature points(eyebrows, eye, nose, mouse) from the face image and the geometrical method for recognizing human s emotion (surprise, anger, happiness, sadness) from the structural correlation of man s feature feints. The proposed method in this paper recognize the human s emotion by learning the neural network. Finally, we have proven the effectiveness of the Proposed method through the experimentation.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.330-335
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• 2004

In this paper, we propose the technique for recognizing the human emotion by using the color image. To do so, we first extract the skin color region from the color image by using HSI model. Second, we extract the face region from the color image by using Eigenface technique. Third, we find the man's feature points(eyebrows, eye, nose, mouse) from the face image and make the fuzzy model for recognizing the human emotions (surprise, anger, happiness, sadness) from the structural correlation of man's feature points. And then, we infer the human emotion from the fuzzy model. Finally, we have proven the effectiveness of the proposed method through the experimentation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.4C
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• pp.424-432
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• 2003

In this paper, an effective method of stereo image reconstruction through the regularized adaptive disparity estimation is proposed. Althougth the conventional adaptive disparity estimation method can sharply improve the PSNR of a reconstructed stereo image, but some problems of overlapping between the matching windows and disallocation of the matching windows can be occurred, because the matching window size changes adaptively in accordance with the magnitude of feature values. Accordingly, in thia paper, a new regularized adaptive disparity estimation technique is proposed. That is, by regularizing the estimated disparity vector with the neughboring disparity vectors, problems of the conventional adaptive disparity estimated scheme might be solved, and also the predicted stereo image can be more effectively reconstructed. From some experiments using the CCETT'S stereo image pairs of 'Man' and 'Claude', it is analyzed that the proposed disparity estimation scheme can improve PSNRs of the reconstructed images to 10.89dB, 6.13dB for 'Man' and 1.41dB, 0.81dB for 'Claude' by comparing with those of the conventional pixel-based and adaptive estimation method, respectively.

• The Research Journal of the Costume Culture
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• v.15 no.3 s.68
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• pp.431-445
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• 2007

The purpose of this study was to analyze and theorize the characteristics of femme fatale in fashion illustration since 1980. The method of this study was to analyze the documentaries for theoretical studies about femme fatale and the visual characteristics in fashion illustration works since 1980. The results of this study were as follows: Femme fatale expressed in the general realm of art was icon of fatal and seductive eroticism in late 19th century. She is composed of diverse images like mythology, exoticism, fear and sensuality. The characteristics of her image in fashion illustration were expressed into de-body image by union of animal and female body, or machine and female body, duplicity of death and sexuality, sexual decadence or abnormality and powerful masculine taste. First, de-body image by union of animal and female body, or machine and female body was expressed in transformed mythical image or bizarre and demonic image, grotesque image linked by picture of female body and painting of animal image, and cyborg image linked by machine and realistic female body by digital media. Second, duplicity of death and sexuality was expressed in juxtaposition by sexual pose, body and something metaphorical and symbolic depiction and de-constructive depiction of death. Third, sexual decadence or abnormality was expressed in fetishistic style, obscene depiction of cheap and hedonistic sexuality, masochistic depiction like antisocial and diseased sex appeal. Forth, powerful masculine taste was expressed in man's face, body, pose, masculine fashion, man's role related to crime and threatening weapon, etc. As mentioned above, femme fatale in fashion illustration was expressed in diverse images by fashion illustrator's point of view. Although she was originated by men's fantastic vision, she brings a catharsis to human being. And she is also recognized as new paradigm and positive cultural sign in our times.

• Korean Journal of Remote Sensing
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• v.11 no.2
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• pp.43-57
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• 1995

This paper presents reconstruction of disparity in images. To achieve this, the algorithm was made up of two different procedures - one is extraction of boundaries for man-made structures and the other is matching of the structures. In the extraction of boundaries for man-made structures, we assume that man-made structures are composed of lines and the lines make up closed polygon. The convertional algorithms of the edges extraction may not perceive man-made structures and have problems that matching algorithms were too complex. This paper proposed sub-pixel boundaries extraction algorithm that fused split-and-merge and image improvement algorithms to overcome complexity. In matching procedure, feature-based algorithm that minimize the proposed cost function are used and the cost fuction considers movement of mid-points for left and right images to match structures. Because we could not obtain disparity of inner parts for the man-made structures, interpolation method was used. The experiment showed good results.

• Proceedings of the Optical Society of Korea Conference
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• 2007.07a
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• pp.341-342
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• 2007

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.33-39
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• 2018

In this paper, we propose a describes how to detect a false iris image by inserting watermark into a iris image. The existing method, which inserts the watermark into the entire iris image to detect a fake iris, has a problem that can evade it by segmenting iris region of an iris image. The purpose of overcoming the problem, this paper proposes a new fake iris detection technique based on digital watermark. It first searches a central point of an iris image, divide the image into blocks with respect to the point. executes Discrete Cosine Transform, inserts watermark into the blocks, and then verifies an iris image using NC(Normalized Correlation). In the experiments, we confirm the robustness for attacks - crop and JPEG.