• Journal of Fashion Business
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• v.2 no.4
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• pp.112-125
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• 1998

This study is to grasp the variousness of clothing worn by elderly women with the ideal self-image by group and by finding out the characteristics of higher-image groups and lower-image group. The object of this study was a total of 488 elderly women above full 55 from an elderly women and who lived in downtown Pusan ionnaire. For statistical disposition, the analysis of factors and frequency was carried out. The results of this study are as follows : 1. As a result of the analysis of realistic self-image and ideal self-image, the realistic self-image was derived as 5 factors-voguishness, loftiness, freshness, feminality, activeness and the ideal self-image as 4 factors-activeness, loftiness, feminality, voguishness. 2. The perceptive age according to age in the realistic self -image reflects that though the 50' s percept the 50' s, the 60' s percept the 50' s and the 70' s the 60' s and also in the ideal self-image, it shows the same result. 3. The degree of satisfaction of build in the realistic self-image appeared that the 50's unsatisfied, the 60's and the 70's felt so, and in the ideal self-image, the 50's and 60's unstisfied, the 70's so. 4. The ideal image according to age in both the realistic self-image and the ideal self-image of clothing appeared that all the 50' sand 60' s wanted a good impression and the 70' s wanted a gentle impression. 5. The frequency of doing a make-up by age in all elder women according of the realistic self-image of clothing showed that the case of doing a make-up when going out only was the greatest number and also in the ideal self-image, it agrees to the same.

• The Research Journal of the Costume Culture
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• v.22 no.6
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• pp.955-964
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• 2014

This study is to explore the relationships between sensibility images of mannequins and apparel shops. A total of 113 consumers participated in experiments with photo stimuli of 2 mannequin types (realistic and semi-abstract mannequins) and 4 brand shops of women's casual wear. In results, luxurious, chic, strong, sexy, and young images were more strongly perceived from realistic mannequins than semi-abstract mannequins whereas simple and soft images were more strongly perceived from semi-abstract mannequins than realistic mannequins. Shops using realistic mannequins indicated strong images whereas shops using semi-abstract mannequins presented soft, comfortable, and feminine images. In the correlation analysis, luxurious, chic, strong, and young images of realistic mannequins were consistent with shop images using realistic mannequins. Also, luxurious, chic, soft, comfortable, and feminine images of semi-abstract mannequins were consistent with shop images using semi-abstract mannequins. In order to clearly communicate brand concepts with consumers, mannequin that is a key element of visual merchandising in the apparel shop, should be carefully selected, considering the accordance with shop image.

• Journal of the Korean Society of Costume
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• v.50 no.2
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• pp.151-165
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• 2000

This study was to find out clothing design preferences, according to the clothing self-image of elderly women and to grasp the variety on clothing of elderly women and thereby to help in merchandise production planning and putting the brands into markets and to provide data for establishing a sales strategy a d to itemize women with the goods which can satisfy the desire and taste of consumer groups in the quality market. For this purpose , various researches as above were conducted .The object of this study was a total of 488 elderly women above full 55 from an elderly women and who lived in downtown Pusan. The data were analysed by using MANOVA, ANOVA , factors analysis and frequency analysis, and the Cronbach α was also applied . The conclusions made based on the theoretical background and the result of questionnaire surveys are as follows ; 1. The realistic self-image of clothing showed a similar pattern by age. 50's and 60's showed little difference by item but 70's was greater in variation between items compared to 60's. The response to each item was that most people answered "common" and they showed a pattern that responded low only in items of 'colorful' , individualistic', 'susceptible to fashion'. A similar pattern was shown by age band also in the ideal self-image and the response to each item appeared higher than in the realistic self-image , and also in items of 'colorful', 'individualistic ' , 'susceptible to fashion' the response appeared low and showed a unity. 2. The results of clothing design preferences examined on the self-image according to age are as follows ; 1) Fro jacket in the realistic self-image , 50's and 60's preferred 'tailed collar' , 'set-in sleeve', 'hips long' and 'plain jacket' and 70's agreed to the design preferences in the items except 'open collar' and also in the idealistic self-image , the degree of preference was same. 2) For skirt in the realistic self-image , 50's and 60's preferred 'tight skirt', 'normal length' , 'plain skirt' and it was appeared that 70's preferred 'pleat skirt' , 'medium length' , 'plain skirt'. Also in the idealistic self-image , the degree of preference was same. 3) For blouse in the realistic self-image, 50's preferred 'open collar', 'round neck line' , 'long set-in sleeve' , 'plain separation belt', 'open front', 'zipper' ad 60's agreed to the favorite designs with 50's except puff sleeve, and 70's appeared to prefer fastening buttons without belt. In the designs preferred in the idealistic self-image, 50's agreed with 50's of the realistic self-image and for 60's , the designs except puff sleeve type and no belt type agreed to 50's and 70's except puff sleeve agreed with 70's of the realistic self-image in their design preferences.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.85-92
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• 2019

In this paper, we propose a efficient feature point extraction method that can solve the problem of performance degradation by introducing a preprocessing process when extracting feature points by utilizing the characteristics of 360-degree realistic media. 360-degree realistic media is composed of images produced by two or more cameras and this image combining process is accomplished by extracting feature points at the edges of each image and combining them into one image if they cover the same area. In this production process, however, the stitching process where images are combined into one piece can lead to the distortion of non-seamlessness. Since the realistic media of 4K-class image has higher resolution than that of a general image, the feature point extraction and matching process takes much more time than general media cases.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.1
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• pp.37-46
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• 2004

In this paper, we propose an improved reproduction algorithm for a realistic image of the real scene based on the spectral distribution of lights and objects. The proposed method for the realistic image is focused on a more accurate reproduction of an image incident on the sight of the viewer. At first, to reproduce an image accurately incident on a sight of viewer, we used the backward ray tracing method based on spectral distribution of object and illuminant representing its physical characteristic used in real. Next, we propose utilizing the improved shading model of the reproduction algorithm of realistic image by applying Bouguer-Beer's law to consider an optical absorptive property of transparent objects. We also define a new ambient light term which is considered the diffuse reflection of neighboring objects instead of constant ambient light. The simulation results show that the proposed algorithm can reproduce the visually similar image with a scene incident on a sight of viewer.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.23-28
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• 1998

The goal of this research is to describe relations between impressions and elements in an image (i.e. color, texture and contours). Adequate image segmentation technique to extract these elements is required. We think that a sketch and a realistic painting are examples of optimal segmented images for our purpose because brush strokes are seem to be segmented areas and realistic paintings should remain the same impression as the model. For the reason, in this paper the segmentation technique which can create realistic painting-like segmentation is exploited. It is shown that the realistic painting-like segmentation is suitable for analyzing images.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.51-52
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• 2011

We introduce a novel complete framework for contructing realistic facial animations given just one facial photo as an input in this paper. Our approach is carried on in 2D photo spacem not 3D space. Moreover, we utilize computer vision-based technique (digital matting) as well as conventional image processing methods (image warping and texture synthesis) for expressing more realistic facial animations. Simulated results show that our scheme produces high quality facial animations very efficiently.

• Journal of Korea Multimedia Society
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• v.20 no.4
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• pp.713-720
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• 2017

We present a non-photo realistic pen-ink drawing method for outlining and shading of the input image. Especially, we focus on the detailed illustration of the image of which stroke's direction is important. The pen-ink renderer is an alternative display models user can generate traditional illustration renderings of their photo realistic image. The previously proposed pen drawing methods produce feasible description in general image but it is difficult to express in detail for the sophisticated images that need to consider the direction of stroke for each image region. In order to overcome the disadvantages of the conventional method, a direction vector is extracted from a tensor field and we determine a stroke's direction in consideration of not only an edge area but also a gradient of a surrounding area in the image. For more detailed description for the sophisticated image, we generate white noises based on the light and shade of the input image and determine the direction and length of the stroke by using the tensor field for each generated white noise. The proposed method works particularly well for traditional architectural images where the direction and detailed description of the pen is important.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.6
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• pp.1085-1097
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• 2017

In the era of new media, images hold an important position as episteme to express and convey ideas. Fashion films provide dynamic and unique fashion images, differentiated from prior fashion media as a representational tool for showing a realistic fashion image only; consequently, their production and spread are increasing rapidly as a new fashion media. This study identifies the meaning and type of fashion images in fashion films based on the concept of Deleuze's image that help discover distinctive characteristics of fashion films as a new fashion media of an expressive tool. Literature research was conducted on new media, concepts and types of images by Deleuze to analyze types of new media images. According to research, fashion image in fashion film is defined as a fashion event; consequently, three types of new media images are derived. As the result of the empirical study, fashion images in fashion films are classified by images of realistic movement, variable time, and virtual experience. The results of the consideration show that fashion films expressed fashion through temporality and narrative, senses, and diegesis. Fashion images of new media in fashion films portray fashion as a process that transcends reality and imagination.

• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.152-158
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• 2023

In recent years, as computer-generated imagery has been applied to more industries, realistic facial animation is one of the important research topics. The current solution for realistic facial animation is to create realistic rendered 3D characters, but the 3D characters created by traditional methods are always different from the actual characters and require high cost in terms of staff and time. Deepfake technology can achieve the effect of realistic faces and replicate facial animation. The facial details and animations are automatically done by the computer after the AI model is trained, and the AI model can be reused, thus reducing the human and time costs of realistic face animation. In addition, this study summarizes the way human face information is captured and proposes a new workflow for video to image conversion and demonstrates that the new work scheme can obtain higher quality images and exchange effects by evaluating the quality of No Reference Image Quality Assessment.