• 제목/요약/키워드: Silhouette Information

검색결과 165건 처리시간 0.019초

다중 특징점 검출을 이용한 보행인식 (Gait Recognition Using Multiple Feature detection)

  • 조운;김동현;백준기
    • 대한전자공학회논문지SP
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    • 제44권6호
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    • pp.84-92
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    • 2007
  • 본 연구는 원거리에서 걸음걸이 (보행)의 특성을 분석하여 인간을 식별하는 보행인식 (gait recognition) 기술을 다중 특징점 기반으로 확장하여 인식률 및 오류 내성을 향상시키는 기술을 제안한다. 보다 구체적으로 i)움직임 검출, ii) 객체 영역 검출, iii) 머리 영역 검출, 그리고, iv) 능동 형태 모델을 이용하여 기본 알고리듬 (gait baseline algorithm)의 문제점인 전처리 과정없이 그림자 영향과 낮은 인식률을 개선하였다. 제안된 알고리듬은 HumanID Gait Challenge (HGCD) 데이터집합을 이용한 실험을 통해 환경 변화요인에도 강건한 인간 보행인식이 가능함을 확인할 수 있다.

깊이 기반 블렌딩 기술을 활용한 고스트 일러스트레이션 렌더링 (Ghosted Illustration Rendering using Depth-based Blending Techniques)

  • 김동준;신영길
    • 한국컴퓨터그래픽스학회논문지
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    • 제26권3호
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    • pp.1-8
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    • 2020
  • 고스트 일러스트레이션은 모델의 명확한 형상에 대한 기하학적 정보를 잃지 않으면서 내/외부 구조를 동시에 가시화하는 효과적인 도구이다. 우리는 고스트 일러스트레이션의 전통적인 접근 방식에 모델의 깊이 정보를 활용하는 3차원 블렌딩 기술을 조합하는 새로운 프레임워크를 제안한다. 이 조합은 고스트 일러스트레이션의 요구 사항에 맞는 자연스러운 혼합 효과를 용이하게 한다. 또한, 일반적인 조작 기법(예. 마스킹)과 일러스트 렌더링 효과를 제안 프레임워크에 통합하여 명확한 형상에 대한 기하학적 정보와 깊이 정보를 동시에 제공하는 방법을 기술한다. 제안 기술 및 기존 기술에 대하여, 우리는 이들을 다양하게 조합하여 얻은 시각적 결과를 보이고 그 결과에 대해 논의한다. 이를 통해, 제안 프레임워크가 고스트 일러스트레이션을 위한 효과적인 툴이 될 수 있음을 보인다.

니트 자카드 조직의 특성에 관한 연구 (A Study on the Properties of Knit Jacquard Structure)

  • 기희숙
    • 한국의상디자인학회지
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    • 제17권4호
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    • pp.77-90
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    • 2015
  • This study is to designed to provide foundation for knit design which can apply the thickness and flexibility of jacquard knit by analyzing and comparing mechanical properties of 7 types of jacquard (normal jacquard, bird's eye jacquard, floating jacquard, tubular jacquard, ladder's back jacquard, blister jacquard, transfer jacquard) widely used in knit design to achieve the results. The sample was projected by using 7 gauge and SES-122S type computer knitting machine house tooth pattern with two colors were applied to 7 types of jacquard using Acrylic/Wool(30%/70%) $2/50.5^{\prime}s{\times}4ply\;yarn$ by Shimaseiki MFG., Ltd computer knitting machine. The mechanical properties of 7 types of jacquard samples were measured using KES-FB (Kawabata Evaluation System for Fabric, Kata Tech Co. Ltd). HV(Hand Value) and THV (Total Hand Value) were calculated by using the formula of KN-402-KT and KN-301-WINTER respectively. The measurements were evaluated by 0-to-5 rating scale. As result, the floating jacquard was found to have excellent drape, making it suitable for express feminine silhouette with its most flexible and smooth touch. On the other hand, bird's eye jacquard is adequate for a suit jacket and coat regarding its excellent volume and flexibility. Blister jacquard and tubular jacquard are thick, heavy and stiff knit and both are suitable for simple box-style design. Ladder's back jacquard, however, is more appropriate for expressing the design of feminine charm and voluminous design. Based on the result of this study, it is supposed to provide basic information for development of knit industry regarding jacquard knit by designing the creative knit wear with high production efficiency.

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고유시점 재구성을 이용한 방향 변화에 강인한 게이트 인식 (Robust Gait Recognition for Directional Variation Using Canonical View Synthesis)

  • 정승도;최병욱
    • 전자공학회논문지CI
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    • 제41권5호
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    • pp.59-67
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    • 2004
  • 게이트는 사람의 걷는 방법 혹은 그 특성을 나타내는 용어로써, 최근 컴퓨터 비젼 기술을 이용하여 개개인을 분별하기 위한 게이트 특징정보를 추출하고자 하는 연구가 활발히 진행되고 있다 게이트 인식의 경우 카메라가 고정되어 있다고 하더라도 사람이 걸어가는 방향에 따라 영상을 기반으로 추출한 게이트 정보가 달라지는 단점을 가지고 있다. 본 논문에서는 영상내의 정보만을 이용하여, 걷는 방향에 종속적인 게이트 인식의 단점을 보완할 수 있는 방안을 제안한다. 먼저 게이트 영상으로부터 걷는 방향을 찾고, 간단한 연산을 통해 평면 호모그래피를 추정한다. 추정된 호모그래피를 이용하여 고유시점의 영상으로 재구성하면, 게이트 방향에 따른 시점 변화를 보정할 수 있다. 본 논문에서는 게이트 실루엣 영상을 영역별로 나누고 각 영역의 평균 정보와 변화량을 특징으로 사용하여 인식 실험을 진행하였다. 실험 결과, 제안한 방법을 적용했을 경우, 그렇지 않은 경우에 비하여 게이트 방향 변화에 강인한 인식 결과를 보임을 확인하였다.

의복구성을 위한 20대 남성의 체형변화 연구 (A Study on Body from Variation of Adult Males in the Twenties for Closing Construction)

  • 유신정;이순원
    • 한국의류학회지
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    • 제15권4호
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    • pp.393-403
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    • 1991
  • The purpose of this study were to explain the difference in body dimensions and body shape between the early in the twenties and the late in the twenties and to get information clothing construction. Subject were 483 Korean males, which were extracted from men's physique investigation on June to August in 1989, consisted of 149 aged $19\~24$ and $25\~29$. T-test and factor analysis were applied to 52 measurement items and 58 indices. The Result of the study were as follow; 1. As regards $19\~24$ aged group, they were taller their waistband level was higher than the late in the twenties. Upper arm and thigh were thick in comparison with trunk. As the difference between shoulder and waist in dimension was great, they showed reverse triangular silhouette. As regard $25\~29$ aged group, their body from variation between individual was greater than that of 19~24 aged group and they were obese on mainly waist and abdominal parts. For that reason, waist band level became low and their shoulder and hip looked slim relatively that reason, waist band level became low and their shoulder and hip look slim relatively to bust and waist parts. 2. Between $19\~24$ aged and $25\~29$ aged groups, as each had charicteristic body from, there was the difference in factor structure. 3. The change of men's body from with age in their twenties was obeseness on the whole body but the increasing rate of upper arm and thigh girth was less than that of trunk girth.

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Prediction and visualization of CYP2D6 genotype-based phenotype using clustering algorithms

  • Kim, Eun-Young;Shin, Sang-Goo;Shin, Jae-Gook
    • Translational and Clinical Pharmacology
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    • 제25권3호
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    • pp.147-152
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    • 2017
  • This study focused on the role of cytochrome P450 2D6 (CYP2D6) genotypes to predict phenotypes in the metabolism of dextromethorphan. CYP2D6 genotypes and metabolic ratios (MRs) of dextromethorphan were determined in 201 Koreans. Unsupervised clustering algorithms, hierarchical and k-means clustering analysis, and color visualizations of CYP2D6 activity were performed on a subset of 130 subjects. A total of 23 different genotypes were identified, five of which were observed in one subject. Phenotype classifications were based on the means, medians, and standard deviations of the log MR values for each genotype. Color visualization was used to display the mean and median of each genotype as different color intensities. Cutoff values were determined using receiver operating characteristic curves from the k-means analysis, and the data were validated in the remaining subset of 71 subjects. Using the two highest silhouette values, the selected numbers of clusters were three (the best) and four. The findings from the two clustering algorithms were similar to those of other studies, classifying $^*5/^*5$ as a lowest activity group and genotypes containing duplicated alleles (i.e., $CYP2D6^*1/^*2N$) as a highest activity group. The validation of the k-means clustering results with data from the 71 subjects revealed relatively high concordance rates: 92.8% and 73.9% in three and four clusters, respectively. Additionally, color visualization allowed for rapid interpretation of results. Although the clustering approach to predict CYP2D6 phenotype from CYP2D6 genotype is not fully complete, it provides general information about the genotype to phenotype relationship, including rare genotypes with only one subject.

현대 패션에 나타난 살롱문화시대의 패션스타일에 대한 분석 - 17, 18세기 프랑스를 중심으로 - (Analysis on Fashion Style of Salon Cultural Era Reflected on the Contemporary Fashion - Mainly about France of the 17th and 18th Centuries -)

  • 이민정;이인성
    • 복식
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    • 제62권1호
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    • pp.14-28
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    • 2012
  • 'Beauty(美)' is pursued by many women. It has been expressed through fashion which has become more various as the society became wealthier. This phenomenon can also be found in the Salon Culture of the 17~18th Centuries and in the way that the free-style socialization without specific purposes began by women. Such 'salon culture' fashions have been reproduced in various methods by contemporary fashion designers as they met the trends or as they became the inspiration and source of ideas and were reinterpreted in various styles. Therefore, it is necessary to compare and analyze the studies and expression methods regarding that style's effects on contemporary fashion at a time when the women's salon culture fashion of the 17~18th Centuries is being naturally combined with or restructured to fit in with contemporary fashion. Therefore, the purpose of this study is to analyze, establish the concept of, and summarize the characteristics of the salon fashion style in order to provide fundamental scholarly information and a direction for the fashion design market by establishing a database on the characteristics of both eras based on the characteristics analysis results of the contemporary fashion style and salon culture era. Moreover, this study is also significant in that it will be a helpful tool for new design development to satisfy consumer needs, and in that the comparison analysis on the salon culture and contemporary fashion characteristics can be a useful tool to understand the fashions of both era. The study methods were, first, through a literature review to study the concepts and background of the salon culture. The second method was to setup a style analysis of a period of 4 years and collect visual data from internet fashion information web sites, such as collection books, to collect and analyze the data. Third, the analysis focused mainly on the results of the categorization of images with 20 fashion experts. Fourth, the details of the salon culture fashion style that are used the most in contemporary fashion were summarized and analyzed. Therefore, the results of this study are as follows The development of the socializing culture during the economically abundant era of the 17~18th Centuries became the stepstool for women to enter a new society and at the same time became the background of the development of the salon and related literature. For the characteristics of the salon culture fashion of the 17~18th Centuries, the changes were more significant in the details of the collars, necklines, sleeves, and robes, rather than in partial silhouette changes. It was found that the same fashion repeats in several-century intervals depending on the era changes; however, it has been reinterpreted newly based on consumer preferences and era situations instead of being reused exactly. Therefore, this study will become scholarly and fundamental data to establish the contemporary understanding of the fashion of the salon culture.

3차원 텍스처를 이용한 카툰 렌더링의 만화적 스타일 다양화 (Extended Cartoon Rendering using 3D Texture)

  • 변혜원;정혜문
    • 한국콘텐츠학회논문지
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    • 제11권8호
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    • pp.123-133
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    • 2011
  • 본 논문에서는 3차원 물체를 카툰 스타일로 렌더링하는 툰 쉐이딩에 3차원 텍스처를 활용하는 새로운 방법론을 제안한다. 1차원 텍스처를 사용하는 기존의 툰 쉐이딩에서는 주어진 조명 벡터와 물체 곡면의 법선 벡터 간의 상대적인 위치와 방향에 따라 쉐이딩 톤을 표현하고 있다. 1차원 텍스처만으로는 시점에 따른 톤의 변화를 표현하는데 한계가 있으므로 Barla 등은 2차원 텍스처로 확장하여 원근감, 안개효과 등 시점에 따라 변화하는 효과를 1차원 추가하였다. 본 논문에서는 3차원 텍스처로 확장하여 곡률, 세일리언시, 좌표 등 물체의 기하정보를 또 다른 1차원으로 추가함으로써 만화적 스타일 다양화를 위한 2가지 확장을 시도한다. 첫 번째는 기하정보에 따라 실루엣이나 하이라이트를 강조하는 형태 과장 효과를 추가하는 것이고 두 번째는 스크린 톤이나 아웃포커싱 등 만화에서 자주 등장하는 만화 고유의 효과를 추가하는 것이다. 이 접근방식의 유효성은 여러 가지 3D 물체를 기존에 표현하지 못하는 다양한 만화적 스타일로 렌더링한 예를 보임으로써 증명한다.

미술작품의 유방 실루엣 비율에 근거한 20대 여성의 바람직한 유방형태와 유형별 컵 설계에 관한 연구 (A Study on Desirable Breast Type of Women in Their Twenties Based on the Ratio of Breast in Works of Art and Cup Design According to Breast Type)

  • 손부현;권수애
    • 한국의류학회지
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    • 제37권3호
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    • pp.280-291
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    • 2013
  • This paper analyzes desirable breast types using measurements from 31 selected female subjects based on the ratio of breast in works of art and to design a brassiere cup design according to the breast type of 182 female subjects in their 20s. The subjects selected for this paper are somewhat larger than a previous study on aesthetically perfect breasts of foreigners according to chest breadth, center neck point to breast point, breast circumference, and breast volume. However, the aesthetic breasts of foreigners are larger than the subjects selected for this study according to chest depth, under-bust circumference, and bust point to bust point. Comparing various breasts types and aesthetic breasts, padding is necessary to complement the form of flat breasts to increase the volume and diameter. Brassiere cups for cone-shaped breasts should be designed to increase breast volume through an increase in nipple height. Hemisphere breasts should be designed to increase the overall volume-leaving diameter. Protrusion breasts should enhance the functions of aggregating and supporting without any increase or decrease of the breast volume. Drooping breasts require the ability to support a large volume to stabilize the breast. Subjects were selected depending on the ratio of breast silhouette as works of art and who have large breasts in disproportional to a slender trunk. Three items, the circumferential length of breast, height of the nipple, and the depth of inner breast using the anthropomorphic measurements of 182 subjects were measured through regression equations for breast volume. Breast volume = -394.86 + 27.52 ${\times}$ (the circumferential length of breast) + 18.73 ${\times}$ (height of the nipple) + 12.85 ${\times}$ (the depth of inner breast). Regression equations to extract the aesthetic breast volume in measurements irrelevant to breasts using the anthropomorphic measurements of 31 subjects were as follows. Aesthetic breast volume = -611.30 + 17.67 ${\times}$ (bust circumference) -24.29 ${\times}$ (under-bust circumference) + 16.31 ${\times}$ (neck point to breast point to waistline) + 22.83 ${\times}$ (bust breadth) + 12.22 ${\times}$ (waist depth) -8.34 ${\times}$ (interscye- front). This prediction equation is useful to develop a breast type brassiere pattern, complement breast enhancement surgery, or minimize the effect a mastectomy.

지능형 비디오 분석을 위한 적응적 배경 생성 기반의 이상행위 검출 (Abnormal Behavior Detection Based on Adaptive Background Generation for Intelligent Video Analysis)

  • 이승원;김태경;유장희;백준기
    • 대한전자공학회논문지SP
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    • 제48권1호
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    • pp.111-121
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    • 2011
  • 지능형 비디오 분석시스템은 불특정 다수의 객체가 가지는 행동을 분석하고, 불의의 사고를 사전에 예측하여 관리자에게 경고를 전달하는 기술을 필요로 한다. 본 논문은 적응적으로 배경을 생성하여 월담, 실신, 버려진 물체, 배회와 같이 사전에 정의된 이상행위를 분석하는 기술을 제안한다. 제안된 비디오 분석 시스템은 배경 생성과 이상 행위 분석 모듈로 구성된다. 강건한 배경 생성을 위해서 영상 내의 움직임 변화를 검출하여 매 순간마다 움직임이 없는 영역을 지속적으로 갱신하고, 이를 기반으로 객체를 검출한다. 또한 객체 검출의 정확성을 높이기 위해 검출된 결과에서 잡음과 그림자 제거 단계를 추가하였다. 이상행위 분석 모듈에서는 검출된 객체로부터 무게 중심, 실루엣, 크기, 이동 궤적 정보를 추출한다. 이때 이상행위의 판단은 월담, 실신, 버려진 물체, 배회에 따라 시나리오 환경으로 구성하고 분석하였다. 실험 결과에서 제안된 시스템은 복잡한 배경 환경에서도 이동 객체 검출 및 이상행위 분석이 가능하였다.