• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.729-741
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• 2007

In order to examine the characteristics of brassiere products for the 1924 generation brands on the market and grasp problems, we selected three 'comparative brassieres', each one from among the 1924 underwear brands with the highest recognition and sales profit, and then designed a 'sample brassiere' pattern(75A) with a similar shape to the comparative brassieres. We set up the "New Cup Grading Rule" with a view of reflecting the wearing effect that was varied according to cup sizes, graded the sizes of 75AA and 75B with this method, and made the sample brassieres in three sizes. We conducted the wearing evaluation and body measurements of 9 subjects after analyzing the patterns and characteristics of the sample brassieres and three comparative brassieres. As a result of the wearing evaluation, the sample and comparative brassiere 2, the dimensions and shapes were appropriate for the 1924 generation consumers and expressed an overall natural silhouette, showed satisfactory results in the entire evaluation questions. On the other hand, the comparative brassiere 1 and 3 that tended toward making a big change in the physical characteristics got unsatisfactory evaluations in the dimensions of the cups, clothing pressure, and bust silhouette. As a result of observing the variation in body dimensions by body measurements when nude and when wearing each brassiere and then summing it up with the score of the wearing evaluation, it was proven that too much change in body shape can create a negative image by upsetting the balance of the whole silhouette. Therefore, it is desirable to develop brassiere products with proper dimensions and clothing pressure that can make a physical change that harmonizes the overall bust silhouette and the position and shape of the breasts.

• Fashion & Textile Research Journal
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• v.19 no.5
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• pp.608-619
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• 2017

In this research, we analyze jackets from the Paris Haute Couture Collection from 2000 S/S~2015 F/W to investigate how shape, tailoring component, and design of jackets have changed. Our analysis of 2,493 jackets from the collection shows that the hour-glass silhouette was the most popular among silhouettes and that standard-length was the most popular jacket length. Such jacket shape expresses the natural beauty of human body. Regarding Tailoring Components, our analysis shows that tight sleeve and natural shoulder line, which is neither too wide, padded, nor low, were prevalent. The analysis also shows that tailored collar and button closure were the most common. Tight sleeve and natural shoulder line, which fit the body outline, allow the silhouette to show natural curves of the human body. As for jacket design, popular colors differed by season, but single-colored jackets prevailed, and woven was the most used material. Since 2000, the most favored form of jacket in women's fashion was a standard-length jacket with an hour-glass silhouette, tight sleeve, natural shoulder line, and tailored collar. This suggests that jackets emphasizing natural curves of the body were favored. Overall, silhouette, length, sleeve, and shoulder line remained consistent while collar and closure varied. This indicates that collar and closure method play a significant role in changes in fashion. Seasonally, elements of shape, tailoring component, and design coexist, but once the shape is determined, the tailoring component and design change in relation to each other.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.2
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• pp.57-68
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• 2008

In this study, we prepared reference data needed for clothing design for middle-aged women by analyzing body satisfaction of their body shape, which had been classified by collecting body features of middle-aged women. As for the study method, we have set five scales from 'never satisfied' to 'very much satisfied,' after analyzing body features of middle-aged women by measuring their body shape through the body meter and auxiliary tools. We used the SPSS 12.0 statistics program, and the results are the following: Body shapes of middle-aged women can be classified into the following four types. A middle-age women with an 'A silhouette' has a normal height, but fat nether limbs. A 'Y silhouette' is short with a fat upper body. The 'O silhouette' is short with fat nether limbs and upper body, and 'H silhouette' is tall and thin. Body shape I has displayed satisfaction with her own body shape, and body shape II showed the most dissatisfaction compared to other body shapes. Body shape III showed satisfaction on all items except face size and breast size, whereas body shape IV was dissatisfied with her face size, neck length, shape of her breast, waist, and buttocks. The result of this study is expected to contribute in accomplishing clothing production that will satisfy the desire of the consumers in the clothing business, while being utilized as the basic data for clothing design that fits their body shape by grasping the changing patterns of their body shape.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1077-1094
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. To reflect the characteristics of a time-course data, we screen the genes using the test statistics with Fourier coefficients applying a FDR procedure. We compare the results done by model-based clustering, K-means, PAM, SOM, hierarchical Ward method and Fuzzy method with the yeast data. As the validity measure for clustering results, connectivity, Dunn index and silhouette values are computed and compared. A biological interpretation with GO analysis is also included.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.2118-2125
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• 2014

Gait Recognition is a new technique to identify the people by the way they walk. Human gait is a spatio-temporal phenomenon that typifies the motion characteristics of an individual. The proposed method makes a simple but efficient attempt to gait recognition. For each video file, spatial silhouettes of a walker are extracted by an improved background subtraction procedure using Gaussian Mixture Model (GMM). Here GMM is used as a parametric probability density function represented as a weighted sum of Gaussian component densities. Then, the relevant features are extracted from the silhouette tracked from the given video file using the Principal Component Analysis (PCA) method. The Fisher Linear Discriminant Analysis (FLDA) classifier is used in the classification of dimensional reduced image derived by the PCA method for gait recognition. Although gait images can be easily acquired, the gait recognition is affected by clothes, shoes, carrying status and specific physical condition of an individual. To overcome this problem, it is combined with footprint as a multimodal biometric system. The minutiae is extracted from the footprint and then fused with silhouette image using the Discrete Stationary Wavelet Transform (DSWT). The experimental result shows that the efficiency of proposed fusion algorithm works well and attains better result while comparing with other fusion schemes.

• Korean Journal of Computational Design and Engineering
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• v.1 no.1
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• pp.45-55
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• 1996

This paper presents a new approach to non-parametric modeling of cutter swept surface (CSS) for cutting simulation. Instead of explicitly modeling cutter swept volumes, silhouette curves of the cutter surface are utilized in computing the z-value of the CSS at a grid point on the x,y-plane. The non-parametric evaluation of the CSS constitutes the integral part of 3-axis cutting simulation. The proposed method is more efficient than the existing ones in the case of conventional cutters (i.e., ball-end mills and flat-end mills), and more importantly, it enables the non-parametric modeling of the CSS for the round-end mills which was not possible with the existing methods.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.55-64
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• 2012

The advantage of direct volume rendering is to visualize structures of interest in the volumetric data. However it is still difficult to simultaneously show interior and exterior structures. Recently, cone beam computed tomography(CBCT) has been used for dental diagnosis. Despite of its usefulness, there is a limitation in the detection of interior structures such as pulp and inferior alveolar nerve canal. In this paper, we propose an efficient volume rendering model for visualizing important interior as well as exterior structures of dental CBCT. It is based on the concept of illustrative volume rendering and enhances boundary and silhouette of structures. Moreover, we present a new method that assigns a different color to structures in the rear so as to distinguish the front ones from the rear ones. This proposed rendering model has been implemented on graphics hardware, so that we can achieve interactive performance. In addition, we can render teeth, pulp and canal without cumbersome segmentation step.

• Journal of Fashion Business
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• v.10 no.3
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• pp.1-22
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• 2006

This study aims at strengthening the national competitiveness of Korea's clothing industry as it provides substantial information on type characteristics and body types for Chinese women and improves the fitness of clothing, considering human proportion in the production of clothing products for export to China. This study measured for 1,381 women between 19 and 50 aged residing in Beijing and Shanghai, China from June 23 to August 7, 2004 by the simple random sampling. Data was analyzed by used SPSS/WIN 10.0 Program. As for the of method of this study, the technical statistical analysis, F-test, and Duncan-test were made. The results of this study are as follows. As age increases, the shoulders seem higher with less curvature on waist, while the front has turned into the straight silhouette with the side turned into the flat silhouette without curvature, and waist and belly turn into the body type of short and thick.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.4
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• pp.700-705
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• 2008

In this paper, we propose object classification algorithm for real-time surveillance system. We have approached this problem using silhouette-based template matching. The silhouette of the object is extracted, and then it is compared with representative template models. Template models are previously stored in the database. Our algorithm is similar to previous pixel-based template matching scheme like Hausdorff Distance, but we use 1D image array rather than 2D regions inspired by Hilbert Path. Transformation of images could reduce computational burden to compute similarity between the detected image and the template images. Experimental results show robustness and real-time performance in object classification, even in low resolution images.

• 한국가시화정보학회:학술대회논문집
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• 2002.11a
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• pp.15-18
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• 2002

We propose an image based three-dimensional shape determination system. The shape, and thus the three-dimensional coordinate information of the 3-D object, is determined solely from captured images of the 3-D object from a prescribed set of viewpoints. The approach is based on the shape from silhouette (SFS) technique and the efficacy of the SFS method is tested using a sample data set. This system may be used to visualize the 3-D object efficiently, or to quickly generate initial CAD data for reverse engineering purposes. The proposed system potentially may be used in three dimensional design applications such as 3-D animation and 3-D games.