• Title/Summary/Keyword: Front Face

검색결과 244건 처리시간 0.187초

Efficient Face Recognition using Low-Dimensional PCA: Hierarchical Image & Parallel Processing

  • Song, Young-Jun;Kim, Young-Gil;Kim, Kwan-Dong;Kim, Nam;Ahn, Jae-Hyeong
    • International Journal of Contents
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    • 제3권2호
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    • pp.1-5
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    • 2007
  • This paper proposes a technique for principal component analysis (PCA) to raise the recognition rate of a front face in a low dimension by hierarchical image and parallel processing structure. The conventional PCA shows a recognition rate of less than 50% in a low dimension (dimensions 1 to 6) when used for facial recognition. In this paper, a face is formed as images of 3 fixed-size levels: the 1st being a region around the nose, the 2nd level a region including the eyes, nose, and mouth, and the 3rd level image is the whole face. PCA of the 3-level images is treated by parallel processing structure, and finally their similarities are combined for high recognition rate in a low dimension. The proposed method under went experimental feasibility study with ORL face database for evaluation of the face recognition function. The experimental demonstration has been done by PCA and the proposed method according to each level. The proposed method showed high recognition of over 50% from dimensions 1 to 6.

Implementing Augmented Reality By Using Face Detection, Recognition And Motion Tracking (얼굴 검출과 인식 및 모션추적에 의한 증강현실 구현)

  • Lee, Hee-Man
    • Journal of the Korea Society of Computer and Information
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    • 제17권1호
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    • pp.97-104
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    • 2012
  • Natural User Interface(NUI) technologies introduce new trends in using devices such as computer and any other electronic devices. In this paper, an augmented reality on a mobile device is implemented by using face detection, recognition and motion tracking. The face detection is obtained by using Viola-Jones algorithm from the images of the front camera. The Eigenface algorithm is employed for face recognition and face motion tracking. The augmented reality is implemented by overlapping the rear camera image and GPS, accelerator sensors' data with the 3D graphic object which is correspond with the recognized face. The algorithms and methods are limited by the mobile device specification such as processing ability and main memory capacity.

The simulation on a electric field distribution of dielectric beads with a shape of ball in water (유전체 비드를 이용한 수중 방전의 전계 분포 특성 평가)

  • Lee, Dong-Hoon;Park, Honh-Jae;Park, Jae-Youn
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 한국전기전자재료학회 2003년도 춘계학술대회 논문집 유기절연재료 방전 플라즈마연구회
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    • pp.15-18
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    • 2003
  • In this paper, We explained the best shape design of electrode for discharge on the water. Electrode with rounding was reduced maximum electric field of over 40% to electrode without rounding for discharge on the water and the best shape of electrode for discharge on the water designed when shape of electrode had a curve radius of over $60^{\circ}$ at electrode's face to electrode's face with minimum distance and a curve radius of under $120^{\circ}$ at electrode's side face to electrode's front face. And When dielectric beads are used between electrodes, the life of electrodes is improved by lower stress of electric field on surface of electrodes.

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facial Expression Animation Using 3D Face Modelling of Anatomy Base (해부학 기반의 3차원 얼굴 모델링을 이용한 얼굴 표정 애니메이션)

  • 김형균;오무송
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제7권2호
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    • pp.328-333
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    • 2003
  • This paper did to do with 18 muscle pairs that do fetters in anatomy that influence in facial expression change and mix motion of muscle for face facial animation. After set and change mash and make standard model in individual's image, did mapping to mash using individual facial front side and side image to raise truth stuff. Muscle model who become motive power that can do animation used facial expression creation correcting Waters' muscle model. Created deformed face that texture is dressed using these method. Also, 6 facial expression that Ekman proposes did animation.

Development of an Automatic Face Velocity Controller for a Fume Hood System (흄후드 시스템의 면 풍속 자동 제어기 개발)

  • Kim, Hogeol;Jeong, Kyuwon
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • 제22권2호
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    • pp.304-309
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    • 2013
  • In chemical, medical or biology laboratories Fume Hoods are basic facilities which can protect researchers from dangerous gas as blowing the contaminated air outside. After the air inside the laboratory room is sucked into the hume hood, then, it is blew out by a fan rotated by an AC induction motor. In addition, a damper controls the inside opening of a duct, which the air flows through. The face velocity, air velocity through the front door, have to be kept constant as the set value even though the opening of the door is varied. However, conventional fume hood used to be operated by operator's manual switches. So that, in this paper an automatic control system is developed which controls the face velocity by adjusting the rotating speed of the blow motor and the opening of the damper. Experiments show that this developed system can be used at such laboratories.

FERET DATA SET에서의 PCA와 ICA의 비교

  • Kim, Sung-Soo;Moon, Hyeon-Joon;Kim, Jaihie
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2355-2358
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    • 2003
  • The purpose of this paper is to investigate two major feature extraction techniques based on generic modular face recognition system. Detailed algorithms are described for principal component analysis (PCA) and independent component analysis (ICA). PCA and ICA ate statistical techniques for feature extraction and their incorporation into a face recognition system requires numerous design decisions. We explicitly state the design decisions by introducing a modular-based face recognition system since some of these decision are not documented in the literature. We explored different implementations of each module, and evaluate the statistical feature extraction algorithms based on the FERET performance evaluation protocol (the de facto standard method for evaluating face recognition algorithms). In this paper, we perform two experiments. In the first experiment, we report performance results on the FERET database based on PCA. In the second experiment, we examine performance variations based on ICA feature extraction algorithm. The experimental results are reported using four different categories of image sets including front, lighting, and duplicate images.

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3D Face Modeling Using Mesh Simplification (메쉬 간략화를 이용한 3차원 얼굴모델링)

  • 이현철;허기택
    • The Journal of the Korea Contents Association
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    • 제3권4호
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    • pp.69-76
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    • 2003
  • Recently, in computer graphics, researches on 3D animations have been very active. one of the important research areas in 3D animation is animation of human being. The creation and animation of 3D facial models has depended on animators' manual work frame by frame. Thus, it needs many efforts and time as well as various hardwares and softwares. In this paper, we implements a way to generation 3D human face model easily and quickly just with the front face images. Then, we suggests a methodology for mesh data simplification of 3D generic model.

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A Study On Three-dimensional Optimized Face Recognition Model : Comparative Studies and Analysis of Model Architectures (3차원 얼굴인식 모델에 관한 연구: 모델 구조 비교연구 및 해석)

  • Park, Chan-Jun;Oh, Sung-Kwun;Kim, Jin-Yul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제64권6호
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    • pp.900-911
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    • 2015
  • In this paper, 3D face recognition model is designed by using Polynomial based RBFNN(Radial Basis Function Neural Network) and PNN(Polynomial Neural Network). Also recognition rate is performed by this model. In existing 2D face recognition model, the degradation of recognition rate may occur in external environments such as face features using a brightness of the video. So 3D face recognition is performed by using 3D scanner for improving disadvantage of 2D face recognition. In the preprocessing part, obtained 3D face images for the variation of each pose are changed as front image by using pose compensation. The depth data of face image shape is extracted by using Multiple point signature. And whole area of face depth information is obtained by using the tip of a nose as a reference point. Parameter optimization is carried out with the aid of both ABC(Artificial Bee Colony) and PSO(Particle Swarm Optimization) for effective training and recognition. Experimental data for face recognition is built up by the face images of students and researchers in IC&CI Lab of Suwon University. By using the images of 3D face extracted in IC&CI Lab. the performance of 3D face recognition is evaluated and compared according to two types of models as well as point signature method based on two kinds of depth data information.

Design of an Visitor Identification system for the Front Door of an Apartment using Deep learning (딥러닝 기반 이용한 공동주택현관문의 출입자 식별 시스템 설계)

  • Lee, Min-Hye;Mun, Hyung-Jin
    • Journal of the Korea Convergence Society
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    • 제13권4호
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    • pp.45-51
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    • 2022
  • Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.

Characteristics of Distance, Angle and Ratio among the Face Point on Photo in Sasang Constitutional Medicine (사상체질별 안면의 거리 각도 비율 특성)

  • Jang, Eun-Su;Kim, Yun-Jeong;Kim, Seong-Hun;Joo, Jong-Cheon
    • Journal of Sasang Constitutional Medicine
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    • 제22권2호
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    • pp.37-47
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    • 2010
  • 1. Objectives: We aimed to derive constitutional facial characteristics with front and side picture of the people in this study 2. Methods: Through November 2007 to July 2009, we obtained front and side face photograph data of 715 male/female constitution confirmed subjects within the age range of 10-80 from 19 oriental medical facilities in the country. According to sex, we divided the subjects into two groups, real constitution group and non-constitution group. We analyzed significant variables of distance, angle and ratio of facial point through unpaired T-test. 3. Results: There are different significant variables according to Sasang Constitution and even though they are much different between sex, the interpretation of the meaning of those variables are similar with the written characteristics of ancient Writing. The face size of the Taeeumin is bigger than that of the non-Taeeumin, and especially they have long length from mouth to mandible angle. Soeumin have small jaw area, long philtrum and narrow facial feature like egg. Soyangin has developed forehead and glabella, short jaw, long eye side. Taeyangin has developed forehead, weak nose especially side end of nose, long eye side. 4. Conclusions: Sasang Constitutional facial characteristics are different between man and woman but there are much similarity with the facts as known on the interpretation of significant variables characteristics.