• Title/Summary/Keyword: Shape Classification

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A Study on Classification of Breast Shapes for Women in Their 30s (30대 여성 유방형태 분류에 관한 연구)

  • Kim, Hyo Sook;Kim, Ji Min
    • Journal of the Korean Society of Costume
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    • v.64 no.4
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    • pp.106-117
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    • 2014
  • The purpose of this study is to provide basic information for the development of well-fitting and comfortable brassieres for women in their 30s, based on the classification of breast shapes by utilizing 3D body measurement data of women in the age group. The result of processing the measurements from the 3D body scan data through RapidForm 2006 shows that while the vertical body measurements decrease, the horizontal measurements, which indicates the degree of obesity, increase proportionally with age. Also, the relevant measurements for upper breasts increase proportionally with age, while the measurements for lower part of the breasts decrease as the degree of sagging increases. Four composition factors of the breasts were identified through the factor analysis: Factor 1 is the level of volume in the breasts and the surrounding area; Factor 2 is the position of nipples and the shape of upper part of breasts; Factor 3 is the position and vertical length of the breasts; Factor 4 is the shape of lower part of breasts; and Factor 5 is the shape of inner part of breasts and degree of width between both breasts. The breasts have been categorized into three distinctive shapes: Breast Shape 1, Breast Shape 2 and Breast Shape 3. According to the results of the cluster analysis, the largest percentage (36.68%) of women in their 30s falls into the category of Breast Shape 2 with small volume and flat upper breasts, followed by Breast Shape 1 (32.66%) with large volume in the upper and lower parts of breasts, and large side to side area, and Breast Shape 3 (30.65%) with average volume and width between breasts.

The Classification of Foot Types of Junior High School Boys for the Development of Shoes' Easy-Order Prototype (신발류 이지오더 Prototype 개발을 위한 청소년의 발의 형태 분류)

  • Lim, Ji-Young;Choi, Sung-Won
    • Fashion & Textile Research Journal
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    • v.7 no.5
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    • pp.535-541
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    • 2005
  • The health of feet is connected with individual's health and affects a man's activity. Shoes need to be designed to protect feet and to absorb the impact of land. In order to choose suitable shoes for feet, the foot size and shape must be considered, so it is essential to grasp the exact size and shape of the foot. This study aims to present fundamental data on shoes' easy order prototype development for choosing shoes of good wearing comfort, by classifying feet size and shape junior high school boys in the early adolescent period. The subject were 234 Korean junior high school boys age from 14 to 16 years old. The subjects were directly measured anthropometrically and indirectly analyzed photographically. 6 factors were extracted through factor analysis and those factors comprised 79.42% of total variance. The factors characterizing foot girth and width, foot length, foot height, foot shape around the fifth toes, angle of foot breadth and foot shape around the first toes. 3 clusters as their foot shape were categorized using 6 factor scores by cluster analysis. Type 1 was characterized by long large foot with deformed first toe. Type 2 had smaller in foot girth, width and length than other types and with deformed fifth toe. Type 3 had average size and high foot shape. Shoes prototype which is to be developed later on will be able to generate 2D flattening in the foot sole form. Therefore, it would be a great support in producing and choosing appropriate shoes if forms are classified by subdividing foot form classification and extract a factor which shows only the foot sole shape.

Analysis of Foot Characteristics According to the Classification of Foot Types of Junior High School Girls (여자 중학생의 발의 형태분류에 따른 유형별 특성 분석)

  • Lim, Ji-Young
    • Fashion & Textile Research Journal
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    • v.9 no.3
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    • pp.319-326
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    • 2007
  • The health of feet is connected with individual's health and affects a man's activity. Shoes need to be designed to protect feet and to absorb the impact of land. In order to choose suitable shoes for feet, the foot size and shape must be considered, so it is essential to grasp the exact size and shape of the foot. This study aims to present fundamental data on shoes' easy order prototype development for choosing shoes of good wearing comfort, by classifying feet size and shape junior high school boys in the early adolescent period. The subject were 217 Korean junior high school girls in age from 14 to 16 years old. The subjects were directly measured anthropometrically and indirectly analyzed photographically. 7 factors were extracted through factor analysis and those factors comprised 78.59% of total variance. The factors were characterized foot length, foot girth and width, foot shape around the fifth toes, foot shape around the first toes, angle of foot breadth, foot height, and foot length of upper foot. 3 clusters as their foot shape were categorized using 7 factor scores by cluster analysis. Type 1 had smaller in foot girth, width and length than other types and with deformed fifth toe. Type 2 had average size and high foot shape. Type 3 was characterized by long large foot with deformed first toe. The results would be a great support in producing and choosing appropriate shoes if forms are classified by subdividing foot form classification and extract a factor which shows only the foot sole shape.

Active Sonar Target/Nontarget Classification Using Real Sea-trial Data (실제 해상 실험 데이터를 이용한 능동소나 표적/비표적 식별)

  • Seok, J.W.
    • Journal of Korea Multimedia Society
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    • v.20 no.10
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    • pp.1637-1645
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    • 2017
  • Target/Nontarget classification can be divided into the study of shape estimation of the target analysing reflected echo signal and of type classification of the target using acoustical features. In active sonar system, the feature vectors are extracted from the signal reflected from the target, and an classification algorithm is applied to determine whether the received signal is a target or not. However, received sonar signals can be distorted in the underwater environments, and the spatio-temporal characteristics of active sonar signals change according to the aspect of the target. In addition, it is very difficult to collect real sea-trial data for research. In this paper, target/non-target classification were performed using real sea-trial data. Feature vectors are extracted using MFCC(Mel-Frequency Cepstral Coefficients), filterbank energy in the Fourier spectrum and wavelet domain. For the performance verification, classification experiments were performed using backpropagation neural network classifiers.

Classification of Man-Made and Natural Object Images in Color Images

  • Park, Chang-Min;Gu, Kyung-Mo;Kim, Sung-Young;Kim, Min-Hwan
    • Journal of Korea Multimedia Society
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    • v.7 no.12
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    • pp.1657-1664
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    • 2004
  • We propose a method that classifies images into two object types man-made and natural objects. A central object is extracted from each image by using central object extraction method[1] before classification. A central object in an images defined as a set of regions that lies around center of the image and has significant color distribution against its surrounding. We define three measures to classify the object images. The first measure is energy of edge direction histogram. The energy is calculated based on the direction of only non-circular edges. The second measure is an energy difference along directions in Gabor filter dictionary. Maximum and minimum energy along directions in Gabor filter dictionary are selected and the energy difference is computed as the ratio of the maximum to the minimum value. The last one is a shape of an object, which is also represented by Gabor filter dictionary. Gabor filter dictionary for the shape of an object differs from the one for the texture in an object in which the former is computed from a binarized object image. Each measure is combined by using majority rule tin which decisions are made by the majority. A test with 600 images shows a classification accuracy of 86%.

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A study on the classification of storages in urban area (도시지역 저류시설 분류체계 연구)

  • Ryu, Jaena;Oh, Jeill;Lee, Ho Ryeong
    • Journal of Korean Society of Water and Wastewater
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    • v.26 no.5
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    • pp.637-647
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    • 2012
  • Recent series of flooding events in urban area has brought a growing concern on storage facilities as a major stormwater management method. The Korean Ministry of Environment has announced diverse plans to tackle the problem, including plans for multi-purpose storages which deal both the stormwater and wastewater. Even though storages can be categorized for different perspectives, classification of possible storages in urban area has not been throughly studied so far. This study investigated diverse references of urban storages and suggested systematic classifications on structural, functional and some other basis. Structural classification mainly concerns structural shape of facilities and includes (1)Cisterns & Rain barrels, (2)Forebays, (3)Dry basins, (4)Wet basins and (5)Constructed wetland. Those functions can be (1)flood prevention (2)water quality control and (3)reuse of stored water. Other criteria that categorize storages depend on (1)height, (2)location, (3)configuration, (4)depth, (5)site of the installation and (6)shape.

A Study on the Facial Color & Shape of an Elderly Women (노인여성의 얼굴색과 얼굴 형태 분석)

  • Kim, Ae-Kyung;Lee, Kyung-Hee
    • Fashion & Textile Research Journal
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    • v.11 no.1
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    • pp.103-111
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    • 2009
  • This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

THREE-DIMENSIONAL ANALYSIS OF THE NORMAL DENTITION AND EDENTULOUS MAXILLA OF KOREANS (한국인의 상악 유치악 치열 및 무치악 치조제에 관한 삼차원적 연구)

  • Kim Hyeong-Seop;Shin Sang-Wan
    • The Journal of Korean Academy of Prosthodontics
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    • v.43 no.2
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    • pp.191-203
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    • 2005
  • Statement of problem. In Korea, the preliminary impression trays for dental and edentulous maxillae are manufactured on the base of the statistical value of Westerners. There had been less study on the dental and edentulous arches of Koreans. Purpose. The purpose of this study was to evaluate an average dental cast, preliminary impression trays, three-dimensional relation of dental and edentulous maxilla of Koreans Material and methods. The subjects for this study were 173 dental casts of maxilla (dental: 52, edentulous : 146) with ages $18\{\sim}60$ years old. Each of the master casts was measured 69 measuring points on the dental cast or maxilla, and 46 measuring points on the edentulous cast of maxilla with three-dimensional digital measuring machine. Each measuring points were analysed and were overlapped, that three dimensional dental graphic manufactured by CAD/CAM system. Results. 1. A standard of distribution to alveolar bone were width between left and right buccal border lines of the standard 3/4 line. The mean value of dental and edentulous casts were 67.27mm, 63.49mm respectively. 2. Morphological classification of dental casts were divided into three groups or V-shape, O-shape, U-shape, that proportion of distribution were 17%, 16%, 67%, respectively. Dimensional classification of the dental casts were divided into five groups of less than 63mm, 63 up to 65mm, 65 up to 67mm. 67 up to 69mm, more than 69mm, respectively. 3. Morphological classification of edentulous casts were divided into three groups or V-shape, O-shape, U-shape, that proportion of distribution were 18%, 17%, 65%, respectively Dimensional classification of the edentulous casts were divided into five groups of less than 57mm, 57 up to 61mm, 61 up to 65mm, 65 up to 69mm, more than 69mm, respectively. 4. Mean dental and edentulous cast of maxilla were overlapped, the proportion of bone resorption to alveolar bone is higher than that of palatal bone, its difference were higher anterior 2/4 area than posterior 3/4 area. Conclusion. It obtains information of preliminary impression trays for dental and edentulous maxilla of Koreans.

Implementation of an User-guided Classification Tailoring System (사용자 요구에 기반한 맞춤형 분류체계 생성기법 구현)

  • Jang, Du-Seok;Chun, Jong-Hoon
    • The Journal of Society for e-Business Studies
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    • v.12 no.3
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    • pp.193-210
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    • 2007
  • In order for a classification system to be useful in every day business environments, it has to reflect peculiar characteristics of enterprises and organizations. By automating the generation process of classification, the overall operation of classification system becomes effective and efficient. However, in order for it to be really useful, human input and interventions are needed from the very beginning phase of the classification generation. This paper proposes an user-guided classification generation algorithm, in which the user inputs a specific level of the classification that she/he wants. Also we propose and implement manipulation operators to tailor the initial classification into the shape that user wants.

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