• Title/Summary/Keyword: 좌우 대칭

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Bilateral Symmetry Averaging and Simple Regression Analysis for Robust Face Detection Against Illumination Variation (조명 변화에 강인한 얼굴 검출을 위한 좌우대칭 평균화와 단순회귀분석 보정기법)

  • Cho, Chi-Young;Kim, Soo-Hwan
    • The Journal of the Korea Contents Association
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    • v.6 no.12
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    • pp.21-28
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    • 2006
  • In a face detection system based on template matching, histogram equalization or log transform is applied to an input image for the intensity normalization and the image improvement. It is known that they are noneffective in improving an image with intensity distortion by illumination variation. In this paper, we propose an efficient image improvement method using a simple regression analysis combined with a bilateral symmetry average for images with intensity distortion by illumination variation. Experimental results show that our method delivers the detection performance better than previous methods and also remarkably reduces the number of face candidates.

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A Bilateral Symmetry Average Method for Robust Face Detection against Illumination Variation (조명 변화에 강인한 얼굴 검출을 위한 좌우대칭 평균화 기법)

  • Cho Chi-Young;Kim Soo-Hwang
    • Journal of Game and Entertainment
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    • v.2 no.2
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    • pp.45-50
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    • 2006
  • In a face detection system based on template matching, histogram equalization or log transform is applied to an input image for the intensity normalization and the image improvement. It is known that they are noneffective in improving an image with intensity distortion by illumination variation. In this paper, we propose an efficient image improvement method called as a bilateral symmetry average for images with intensity distortion by illumination variation. Experimental results show that our method delivers the detection performance better than previous methods and also remarkably reduces the number of face candidates.

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Analysis of Fourier-transform Holographic Kinoforms Using Exact Ray Tracing (엄밀한 광선추적법에 의한 푸리에변환 holographic kinoform의 분석)

  • 조두진
    • Korean Journal of Optics and Photonics
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    • v.4 no.4
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    • pp.390-396
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    • 1993
  • When a one-dimensional telecentric paraxial holographic kinoform is used as a Fourier transform lens, we analyzed three surface-relief structures, i.e., plano-convex, convex-plano and biconvex shapes, employing exact raytracing method based on Snell's law. For the kinoform of E/8 and focal length of 15 mm, the number of zones, the thickness, and the slope of parabolic surfaces are varied by changing the refractive indicies of kinoform material and surrounding medium. It is found that biconvex shape gives the best results in general, although off-axis performance degrades in all cases as the slope of parabolic surfaces increases.

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Pre-processing Method for Face Recognition Robust to Lightness Variation; Facial Symmetry (조명 변화에 강건한 얼굴 인식의 전처리 기법; 얼굴의 대칭성)

  • Kwon Heak-Bong;Kim Young-Gil;Chang Un-Dong;Song Young-Jun
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.163-169
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    • 2004
  • In this paper. we propose a shaded recognition method using symmetric feature. When the existing PCA is applied to shaded face images, the recognition rate is decreased. To improve the recognition rate, we use facial symmetry. If the difference of light and shade is greater than a threshold value, we make a mirror image by replacing the dark side with the bright side symmetrically Then the mirror image is compared with a query image. We compare the performance of the proposed algorithm with the existing algorithms such as PCA, PCA without three eigenfaces and histogram equalization methods. The recognition rate of our method shows $98.889\%$ with the excellent result.

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A 3D Face Reconstruction Based on the Symmetrical Characteristics of Side View 2D Face Images (측면 2차원 얼굴 영상들의 대칭성을 이용한 3차원 얼굴 복원)

  • Lee, Sung-Joo;Park, Kang-Ryoung;Kim, Jai-Hie
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.1
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    • pp.103-110
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    • 2011
  • A widely used 3D face reconstruction method, structure from motion(SfM), shows robust performance when frontal, left, and right face images are used. However, this method cannot reconstruct a self-occluded facial part correctly when only one side view face images are used because only partial facial feature points can be used in this case. In order to solve the problem, the proposed method exploit a constrain that is bilateral symmetry of human faces in order to generate bilateral facial feature points and use both input facial feature points and generated facial feature points to reconstruct a 3D face. For quantitative evaluation of the proposed method, 3D faces were obtained from a 3D face scanner and compared with the reconstructed 3D faces. The experimental results show that the proposed 3D face reconstruction method based on both facial feature points outperforms the previous 3D face reconstruction method based on only partial facial feature points.

Confinement Range of Transverse Reinforcements for T-shaped Reinforced Concrete Walls (철근콘크리트 T형 벽체의 콘크리트 구속을 위한 횡철근의 배근범위)

  • 하상수;오영훈;최창식;이리형
    • Journal of the Korea Concrete Institute
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    • v.14 no.6
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    • pp.1001-1009
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    • 2002
  • The objective of this study is to determine the range of confinement (or the transverse reinforcement of the reinforced concrete structural walls with the T-shaped cross section subjected to cyclic lateral loads. The range of confinement for transverse reinforcement is related to the location of neutral axis and determined by the magnitude and distribution of compressive strain. The compressive strain depends on the ratio of wall cross sectional area to the floor-plan area, the aspect ratio, configuration, the axial load, and the reinforcement ratios. By affection of flange, the neutral axis appears different depending on positive and negative forces and because of this reason, when web and flange are subjected to compressive stress, the range of confinement for the transverse reinforcement of T-shaped walls would shows different result. Therefore this experimental research focused on the structural characteristics of T-shaped walls and suggested the neutral axis depth through comparing the results of this study with sectional analysis.

Comparison Analysis of Muscle Strength and Asymmetry according to Bowler Injury Experience and Type (볼링 선수 상해 경험과 유형에 따른 근력과 비대칭 비교 분석)

  • Byun, Ho-Jin
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.423-432
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    • 2018
  • The purpose of this study was to investigate the differences in upper and lower strengths and symmetry between upper body injury group, lower body injury group and non-injury group of bowling athletes. The subjects were the upper body injury group (UG), n = 16, the low body injury group (LG), n = 8, the non injury group, [NG], n = 15). The isometric strength of the bowler was measured using Manual Muscle Tester 01165 (Lafayette Instrument Company, USA) and the symmetry index (SI) was calculated. The results were as follow. The symmetry index of hip extension strength and hip external rotation strength was statistically larger in NG than LG (p <.05). The above results suggest that lower body strength and bilateral symmetry was closely related to injuries of the lower body. In order to prevent injury of the bowler, strengthening of lower body strength and symmetrical training are needed.

Automatic Face Detection using Symmetry and Hough-like Ellipse Fitting (대칭성과 타원 모델링에 기반한 복잡한 배경에서의 얼굴 검출)

  • Seo, Jeong-Ik;Choi, Il;Chien, Sung-Il
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.461-464
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    • 2000
  • 본 논문에서는 복잡한 배경과 조명의 영향과 그리고 얼굴의 크기가 변화하는 경우에도 주어진 영상으로부터 얼굴을 검출하는 새로운 효율적인 방법을 제안한다. 정면 얼굴의 경계선이 타원과 유사한 형태를 가지며 얼굴을 수직으로 이등분하는 직선을 기준으로 얼굴의 좌우 외곽선은 반사 대칭 (reflection symmetry) 의 조건을 만족한다. 이러한 반사 대칭의 조건을 허프 (Hough) 변환과 유사한 타원 모델링에 결합하여 주어진 영상에서 얼굴을 검출한다. 얼굴이 포함된 다양한 영상에서 실험을 통하여 제안한 얼굴 검출방법의 타당성을 확인하였다.

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Component Based Face Detection for PC Camera (PC카메라 환경을 위한 컴포넌트 기반 얼굴 검출)

  • Cho, Chi-Young;Kim, Soo-Hwan
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.988-992
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    • 2006
  • 본 논문은 PC카메라 환경에서 명암왜곡에 강인한 얼굴검출을 위한 컴포넌트 기반 얼굴검출 기법을 제시한다. 영상 내의 얼굴검출을 위해 에지(edge) 분석, 색상 분석, 형판정합(template matching), 신경망(Neural Network), PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis) 등의 기법들이 사용되고 있고, 영상의 왜곡을 보정하기 위해 히스토그램 분석(평활화, 명세화), gamma correction, log transform 등의 영상 보정 방법이 사용되고 있다. 그러나 기존의 얼굴검출 방법과 영상보정 방법은 검출대상 객체의 부분적인 잡음 및 조명의 왜곡에 대처하기가 어려운 단점이 있다. 특히 PC카메라 환경에서 획득된 이미지와 같이 전면과 후면, 상하좌우에서 비추어지는 조명에 의해 검출 대상 객체의 일부분이 왜곡되는 상황이 발생될 경우 기존의 방법으로는 높은 얼굴 검출 성능을 기대할 수 없는 상황이 발생된다. 본 논문에서는 기울어진 얼굴 및 부분적으로 명암 왜곡된 얼굴을 효율적으로 검출할 수 있도록 얼굴의 좌우 대칭성을 고려한 가로방향의 대칭평균화로 얼굴검출을 위한 모델을 생성하여 얼굴검출에 사용한다. 이 방법은 부분적으로 명암왜곡된 얼굴이미지를 기존의 영상 보정기법을 적용한 것 보다 잘 표현하며, 얼굴이 아닌 후보는 비얼굴 이미지의 형상을 가지게 하는 특성이 있다.

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Weighted Hadamard Transform in the Helix of Plants and Animals :Symmetry and Element-wise Inverse Matrices (동식물의 나선속의 하중(荷重) Hadamard Transform : 대칭과 Element-wise Inverse 행렬)

  • Park, Ju-Yong;Kim, Jung-Su;Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.6
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    • pp.319-327
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    • 2016
  • In this paper we investigate that most of plants and animals have the symmetric property, such as a tree or a sheep's horn. In addition, the human body is also symmetric and contains the DNA. We can see the logarithm helices in Fibonacci series and animals, and helices of plants. The sunflower has a shape of circle. A circle is circular symmetric because the shapes are same when it is shifted on the center. Einstein's spatial relativity is the relation of time and space conversion by the symmetrically generalization of time and space conversion over the spacial. The left and right helices of plants and animals are the symmetric and have element-wise inverse relationships each other. The weight of center weight Hadamard matrix is 2 and is same as the base 2 of natural logarithm. The helix matrices are symmetric and have element-wise inverses.