• Title, Summary, Keyword: 실루엣

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Comparison of clustering with yeast microarray gene expression data (효모 마이크로어레이 유전자발현 데이터에 대한 군집화 비교)

  • Lee, Kyung-A;Kim, Jae-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.4
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    • pp.741-753
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    • 2011
  • We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

Efficient Mesh Modeling using Silhouette Contour Constraint from Depth Map (경계라인 제약조건을 이용한 깊이 맵 기반 메쉬 모델링)

  • Park Jeungchul;Kim Seung-man;Lee Kwan H.
    • Proceedings of the Korean Information Science Society Conference
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    • pp.682-684
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    • 2005
  • 본 논문에서는 동적인 실제 객체로부터 얻어진 깊이 맵으로부터 3차원 메쉬 모델을 생성할 때, 영상의 경계정보를 기반으로 효율적인 비정규 메쉬를 생성하는 기법을 제안한다. 우선 깊이 맵으로부터 소수의 특징점과 경계영역에서의 실루엣 점을 추출한다. Delaunay 삼각화 기법을 적용할 때 경계 피부에 발생하는 불필요한 삼각형들을 효율적으로 제거하기 위해 실루엣점으로 구성된 경계 라인을 제약조건으로 사용한다. 즉 깊이 맵으로부터 경계 영역 정보를 추출하고 이를 기반으로 관심 객체의 비정규 삼각 메쉬에 존재하는 불필요한 외부 삼각형을 제거한다. 최종적으로 생성된 3차원 메쉬에 포함된 형상 노이즈를 제거하기 위해 메쉬 스무딩 기법을 적용하고, 깊이 맵과 동시에 획득된 컬러 영상을 텍스쳐링하여 3차원 메쉬를 생성한다.

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A Study of the Expressions of the Silhouette in the Fashion Illustrations (패션 일러스트레이션에 나타난 실루엣 표현 연구)

  • Choi, Yoo-Jin;Choi, Jung-Hwa
    • Fashion & Textile Research Journal
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    • v.14 no.2
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    • pp.184-192
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    • 2012
  • This study analyzed silhouette expressions in the fashion illustrations by theory based on results of studying the characteristics of the forms and meanings of the silhouette expressions in art historically. For the actual considering this study collected and categorized fashion illustrations from 1990 to the present limitedly, and clarified the meaning of the silhouette expressions. Those expressions in fashion illustrations were categorized to the 5 items; black & white silhouette, color silhoutte, pattern silhouette, paper silhouette, line silhouette. Silhouette expressions of the fashion illustrations were categorized to 3 items: metaphorical fantasy, essential minimization, anonymous representation.

Automatic Detecting and Tracking Algorithm of Joint of Human Body using Human Ratio (인체 비율을 이용한 인체의 조인트 자동 검출 및 객체 추적 알고리즘)

  • Kwak, Nae-Joung;Song, Teuk-Seob
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.215-224
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    • 2011
  • There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.

A Multiresolution Model Generation Method Preserving View Directional Feature (시점과의 방향관계를 고려한 다단계 모델 생성 기법)

  • Kim, HyungSeok;Jung, SoonKi;Wohn, KwangYun
    • Journal of The Korea Computer Graphics Society
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    • v.4 no.1
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    • pp.1-10
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    • 1998
  • The idea of level-of-detail based on multiresolution model is gaining popularity as a natural means of handling the complexity regarding the realtime rendering of virtual environments. To generate an effective multiresolution model, we should capture the prominent visual features in the process of simplifying original complex model. In this paper, we incorporate view dependent features such as silhouette features and backface features, to the generation process of multiresolution model. To capture the view directional parameter, we propose multiresolution view sphere. View sphere maps the directional relationship between object surface and the view. Using the view sphere, coherence in the directional space is mapped into spatial coherence in the view sphere. View sphere is generated in multiresolution fashion to simplify the object. To access multiresolution view sphere efficiently, we devise quad tree for the view sphere. We also devise a mechanism for realtime simplification process using proposed view sphere. Using proposed mechanism, regenerating simplified model in realtime is effectively done in the order of number of rendered vertices.

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Silhouette-based motion recognition for young children using an RBF network (RBF 신경망을 이용한 실루엣 기반 유아 동작 인식)

  • Kim, Hye-Jeong;Lee, Kyoung-Mi
    • Journal of Internet Computing and Services
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    • v.8 no.3
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    • pp.119-129
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    • 2007
  • To recognition a human motion, in this paper, we propose a neural approach using silhouettes in video frames captured by two cameras placed at the front and side of the human body. To extract features of the silhouettes for motion estimation, the proposed system computes both global and local features and then groups these features into static and dynamic features depending on whether features are in a static frame. Extracted features are in a static frame. Extracted features are used to train a RBF network. The neural system uses static features as the input of the neural network and dynamic features as additional features for recognition. In this paper, the proposed method was applied to movement education for young children. The basic movements for such education consist of locomotor movements, such as walking, jumping, and hopping, and non-locomotor movements, including bending, stretching, balancing and turning. The system demonstrated the effectiveness of motion recognition for movement education generated by the proposed neural network. The proposed system dan be extended to the system for movement education which develops the spatial sense of young children.

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The Study on the Fashion Style of Female Celebrities in Seoul Fashion Week (서울 패션 위크에 나타난 여성 셀러브리티 패션 스타일에 관한 연구)

  • Lee, Ji-Yeon;Kim, Jang-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.284-295
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    • 2019
  • Celebrities form a dominant culture of one era and are cultivating influence to lead new fashion. Domestic women celebrities attending Seoul Fashion Week build their image as a fashion leader by exposing their own fashion aesthetics to the public. This promotes PR and sales of the brand of fashion designers in the collection. This study considers the fashion trends of women celebrities by analyzing the fashion style of women celebrities in Seoul Collection over the recent five years. The results of this study on contents analysis are as follows. First, straight silhouettes, achromatic colors, and an absence of a pattern or decoration comprised a high proportion. Celebrities preferred a modern and minimal style. Second, they preferred a feminine style that shows traditional feminine beauty through slim and princess silhouettes, one-piece dress or skirts, soft materials, and decorations with ruffles. In addition, as a matching jacket on one-piece dresses also appeared, it showed that celebrities attempted to change the chic feminine style with masculine beauty. Third, boxy silhouettes, multi-color mixed with colorful colors, graphic or lettering patterns, glittering materials and lots of details comprised a high proportion. This means celebrities pursue a maximal style that reveals their strong presence as fashion leaders.

View-Invariant Body Pose Estimation based on Biased Manifold Learning (편향된 다양체 학습 기반 시점 변화에 강인한 인체 포즈 추정)

  • Hur, Dong-Cheol;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.36 no.11
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    • pp.960-966
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    • 2009
  • A manifold is used to represent a relationship between high-dimensional data samples in low-dimensional space. In human pose estimation, it is created in low-dimensional space for processing image and 3D body configuration data. Manifold learning is to build a manifold. But it is vulnerable to silhouette variations. Such silhouette variations are occurred due to view-change, person-change, distance-change, and noises. Representing silhouette variations in a single manifold is impossible. In this paper, we focus a silhouette variation problem occurred by view-change. In previous view invariant pose estimation methods based on manifold learning, there were two ways. One is modeling manifolds for all view points. The other is to extract view factors from mapping functions. But these methods do not support one by one mapping for silhouettes and corresponding body configurations because of unsupervised learning. Modeling manifold and extracting view factors are very complex. So we propose a method based on triple manifolds. These are view manifold, pose manifold, and body configuration manifold. In order to build manifolds, we employ biased manifold learning. After building manifolds, we learn mapping functions among spaces (2D image space, pose manifold space, view manifold space, body configuration manifold space, 3D body configuration space). In our experiments, we could estimate various body poses from 24 view points.

Importance of Dynamic Cue in Silhouette-Based Gait Recognition (실루엣 기반 걸음걸이 인식 방법에서 동적 단서의 중요성)

  • Park Hanhoon;Park Jong-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3
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    • pp.23-30
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    • 2005
  • As a human identification technique, gait recognition has recently gained significant attention. Silhouette-based gait recognition is one of the most popular methods. This paper aims to investigate features that determine the style of walking in silhouette-based gait recognition. Gait can be represented using two cues: static(shape) cue and dynamic(motion) cue. Most recently, research results have been reported in the literature that the characteristics of gait are mainly determined by static cue but not affected by dynamic cue. Unlike this, experimental results in this paper verifies that dynamic cue is as important as and in many cases more important than static cue. For experiments, we use two well-blown gait databases: UBC DB and Southampton Small DB. The images of UBC DB correspond to the 'ordinary' style of walking. The images of Southampton Small DB correspond to the 'disguised' (not ordinary by wearing special clothes or bags) style of walking. As results of experiments, the recognition rate was 100% by static cue and $95.2\%$ by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the recognition rate was $50.0\%$ by static cue and $55.8\%$ by dynamic cue. The risk against correct recognition was 0.91 by static cue and 0.97 by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the risk was 0.98 by static cue and 0.98 by dynamic cue. Consequently, the characteristics of ordinary gait are mainly determined by static cue but that of disguised gait by dynamic cue.

스커트의 변천

  • 이종숙
    • Proceedings of the Korea Fashion and Costume Design Association Conference
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    • pp.60-64
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    • 2004
  • 스커트는 여성을 표현하는 심볼이기도 하며 스커트를 입은 모습의 인물 실루엣은 국제적으로 통용하는 여성의 마크로 되어 있다. 또한 여성의 하반신을 커버하는 의상이라는 성격을 가지고 있기 때문에 스커트는 오랫동안 유행의 초점이 되어 왔고 앞으로도 창작의 흥미가 끊이지 않는 부분이기도 할 것이다.(중략)

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