• Title/Summary/Keyword: Face classification

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Locally Linear Embedding for Face Recognition with Simultaneous Diagonalization (얼굴 인식을 위한 연립 대각화와 국부 선형 임베딩)

  • Kim, Eun-Sol;Noh, Yung-Kyun;Zhang, Byoung-Tak
    • Journal of KIISE
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    • v.42 no.2
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    • pp.235-241
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    • 2015
  • Locally linear embedding (LLE) [1] is a type of manifold algorithms, which preserves inner product value between high-dimensional data when embedding the high-dimensional data to low-dimensional space. LLE closely embeds data points on the same subspace in low-dimensional space, because the data points have significant inner product values. On the other hand, if the data points are located orthogonal to each other, these are separately embedded in low-dimensional space, even though they are in close proximity to each other in high-dimensional space. Meanwhile, it is well known that the facial images of the same person under varying illumination lie in a low-dimensional linear subspace [2]. In this study, we suggest an improved LLE method for face recognition problem. The method maximizes the characteristic of LLE, which embeds the data points totally separately when they are located orthogonal to each other. To accomplish this, all of the subspaces made by each class are forced to locate orthogonally. To make all of the subspaces orthogonal, the simultaneous Diagonalization (SD) technique was applied. From experimental results, the suggested method is shown to dramatically improve the embedding results and classification performance.

Statistical Analysis of Projection-Based Face Recognition Algorithms (투사에 기초한 얼굴 인식 알고리즘들의 통계적 분석)

  • 문현준;백순화;전병민
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5A
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    • pp.717-725
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    • 2000
  • Within the last several years, there has been a large number of algorithms developed for face recognition. The majority of these algorithms have been view- and projection-based algorithms. Our definition of projection is not restricted to projecting the image onto an orthogonal basis the definition is expansive and includes a general class of linear transformation of the image pixel values. The class includes correlation, principal component analysis, clustering, gray scale projection, and matching pursuit filters. In this paper, we perform a detailed analysis of this class of algorithms by evaluating them on the FERET database of facial images. In our experiments, a projection-based algorithms consists of three steps. The first step is done off-line and determines the new basis for the images. The bases is either set by the algorithm designer or is learned from a training set. The last two steps are on-line and perform the recognition. The second step projects an image onto the new basis and the third step recognizes a face in an with a nearest neighbor classifier. The classification is performed in the projection space. Most evaluation methods report algorithm performance on a single gallery. This does not fully capture algorithm performance. In our study, we construct set of independent galleries. This allows us to see how individual algorithm performance varies over different galleries. In addition, we report on the relative performance of the algorithms over the different galleries.

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Salient Region Detection Algorithm for Music Video Browsing (뮤직비디오 브라우징을 위한 중요 구간 검출 알고리즘)

  • Kim, Hyoung-Gook;Shin, Dong
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.2
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    • pp.112-118
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    • 2009
  • This paper proposes a rapid detection algorithm of a salient region for music video browsing system, which can be applied to mobile device and digital video recorder (DVR). The input music video is decomposed into the music and video tracks. For the music track, the music highlight including musical chorus is detected based on structure analysis using energy-based peak position detection. Using the emotional models generated by SVM-AdaBoost learning algorithm, the music signal of the music videos is classified into one of the predefined emotional classes of the music automatically. For the video track, the face scene including the singer or actor/actress is detected based on a boosted cascade of simple features. Finally, the salient region is generated based on the alignment of boundaries of the music highlight and the visual face scene. First, the users select their favorite music videos from various music videos in the mobile devices or DVR with the information of a music video's emotion and thereafter they can browse the salient region with a length of 30-seconds using the proposed algorithm quickly. A mean opinion score (MOS) test with a database of 200 music videos is conducted to compare the detected salient region with the predefined manual part. The MOS test results show that the detected salient region using the proposed method performed much better than the predefined manual part without audiovisual processing.

A Class and Cosmetics of Make-up in Make-up Deisgn (메이크업 디자인에서 메이크업 종류)

  • Shin, Seong-Yoon;Shin, Kwang-Sung;Lee, Hyun-Chang;Jin, Chan-Yong;Rhee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.144-145
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    • 2012
  • Make-up is the act of protecting the body and face, or a beautifully decorating by covering the shortcomings. In this paper, classification and type of makeup was newly organized to suit the present day. And the meaning of the new make-up were evaluated. Makeup helps protect skin from external changes. It gives the beauty function to hide defects of the skin and make it beautiful. Thus, it allows to have a social life actively and aggressively given the confidence to look.

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The Relativity of Thermography to HRV in Sasang Constitutional Groups (사상인(四象人)의 HRV와 체표온도간 상관성에 관한 고찰)

  • Park, Sun-Young;Kim, Su-Hyun;Chung, Dae-Kyoo;Kim, Ju-Bong
    • Journal of Oriental Neuropsychiatry
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    • v.20 no.3
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    • pp.121-132
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    • 2009
  • Objectives : This study was done to investigate the relativity of thermography to HRV(heart rate variability) in Sasang constitutional groups. Methods : We investigated 87 healthy workers consisted of 10 Taeumin, 47 Soeumin, 30 Soyangin. After diagnosing the Sasang constitution by QSCCII(Questionnaire for the Sasang Constitutional Classification), we ana lysed their HRV -time domain and frequency domain and also checked their thermography in April 2009. Results & Conclusions : Analysing the thermography, The whole skin temperature was showed equaly in many Taeumin, the face, Upper burner skin temperature was showed high in many Soeumin, and the abdomen skin temperature was showed low in many Soyangin. The relativity of the sympathetic index to skin temperature was high in Taeumin. The higher sympathetic index, the higher Upper burner skin temperature in Taeumin, the higer most of the skin temperature in Soyangin, lower the whole skin temperature in Soeumin.

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Classification of Head Shape and 3-dimensional analysis for Korean Men (성인 남성 머리와 얼굴 부위의 형태분류와 3차원적 분석)

  • Choi, Young-Lim;Kim, Jae-Seung;Nam, Yun-Ja
    • Fashion & Textile Research Journal
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    • v.12 no.6
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    • pp.812-820
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    • 2010
  • The objectives of this study were to classify the head shapes of Korean men and to suggest computer tomography as a new body measurement method. The 23 head measurement items of 760 men, aged more than 18 in Sizekorea 2004 database were used to analyze, measured by using statistical methods. Factor analysis, cluster analysis and duncan test were performed using these data. Through factor analysis, 5 factors were extracted upon factor scores and those factors comprised 70.91% for the total variances. The head and face shapes were categorized as 5 types-triangle, round, oval, long, rectangle. We decided for the type 1(triangle) to standard head shape since this type was the most observed. 21 participants were measured using computed tomography(CT). The measured data of skin and skeleton and the standard head shapes were illustrated.

Assessment of Tunnel Displacement with Weak Zone Orientation using 3-D Numerical Analysis (3차원 수치해석을 이용한 연약대 방향에 따른 터널 거동 특성 평가)

  • Yim, Sung-Bin;Jeong, Hae-Geun;Seo, Yong-Seok
    • The Journal of Engineering Geology
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    • v.19 no.1
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    • pp.43-50
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    • 2009
  • A 3-D numerical analysis was carried out to observe potential effects of orientation of inherent weak zones to tunnel behaviors and stress distributions during tunnel excavation. Weak zones used for the analysis were placed at the upper 1D part from crown, on the crown and on the center of face, using orientations derived from the 6th RMR parameter for assessment of joint orientation effect on tunnel. Mechanical properties of rock mass were derived through a in-situ displacement measurement-based back analysis. Finally, a classification chart for crown settlement with five ranks based on orientation and location of weak zones is suggested.

Physics of Yin-Yang & Five Element and its General Application to Constitution & Psychology

  • Jang, Dong-Soon;Shin, Mi-Soo;Paeck, Young-Soo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.342-351
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    • 2000
  • The paper is concerned about the discovery of new physics of the old oriental philosophy of the yin-Yang '||'&'||' five elements. the physical properties of Five Elements are defined, similarly as in thermodynamics, as five different characteristic state in a cyclic system of nature or a human body. Wood is defined as "warm and soft", Fire as "hot and dispersive", Earth as "agglomerating and sticky", Metal as "tensile and crystallizing", and Water as "cool and slippery" state, respectively. Based on the physics of Five Elements and Qi channel theory, five different constitution classification s are made according to the shape of human face, such as long, inverse triangle, circle, square, and triangle geometry, respectively.Since the constitution implies the relative size or strength of 5 major organs, this theory can be applies successfully to the prediction of the susceptibility to specific diseases as well as the analyses of personal character such as emotion and sensibility. The specific character is analyzed with four different aspects; that is, the first and second are caused by the positive and negative side of the strongest organ, the third character by determined the weakest organ, and finally the fourth by the abnormal psychology due to serious illness.bnormal psychology due to serious illness.

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A Study on the Symbolism of Architectural Design as an Applied Art (응용예술로서 건축 디자인의 상징성에 관한 연구)

  • Song, Suk-Hyun
    • Korean Institute of Interior Design Journal
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    • v.23 no.3
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    • pp.83-91
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    • 2014
  • As a applied art, Architecture is a synthetic art for dwelling and settlement. It has started with the origin of the human. and Artistical-technological indicator, include not only materiality but also immateriality such as history and society. After 20C, various categories of thinking is a undergoing rapid change. especially, beginning in 1900, The intrinsic value of "Fine Art" had lost their competitive power in the face of industrial revolution's mass production. and it has been displaced by a "new concept", such as a conveyance of meaning or rational way of thinking. This change means free from the tradition and custom of a past. for that reasons, Due to the nature of applied art, it always include design symbolism and designer's thinking is mainly processed in their own system of thinking. Symbolism for the art was distinguished from a general concept by the connotative meaning that called "the dual image". Therefore, at the start, this study will define about design and symbolism with a architecture as a applied art. then, Analysis the expression tendency of the contemporary architecture and modification. as a result, It aim to systematize mapping process and suggest the classification of various visual cue.

A comparative study of filter methods based on information entropy

  • Kim, Jung-Tae;Kum, Ho-Yeun;Kim, Jae-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.5
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    • pp.437-446
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    • 2016
  • Feature selection has become an essential technique to reduce the dimensionality of data sets. Many features are frequently irrelevant or redundant for the classification tasks. The purpose of feature selection is to select relevant features and remove irrelevant and redundant features. Applications of the feature selection range from text processing, face recognition, bioinformatics, speaker verification, and medical diagnosis to financial domains. In this study, we focus on filter methods based on information entropy : IG (Information Gain), FCBF (Fast Correlation Based Filter), and mRMR (minimum Redundancy Maximum Relevance). FCBF has the advantage of reducing computational burden by eliminating the redundant features that satisfy the condition of approximate Markov blanket. However, FCBF considers only the relevance between the feature and the class in order to select the best features, thus failing to take into consideration the interaction between features. In this paper, we propose an improved FCBF to overcome this shortcoming. We also perform a comparative study to evaluate the performance of the proposed method.