• Title/Summary/Keyword: 얼굴 이미지

Search Result 474, Processing Time 0.027 seconds

A Study on Facial Feature' Morphological Information Extraction and Classification for Avatar Generation (아바타 생성을 위한 이목구비 모양 특징정보 추출 및 분류에 관한 연구)

  • 박연출
    • Journal of the Korea Computer Industry Society
    • /
    • v.4 no.10
    • /
    • pp.631-642
    • /
    • 2003
  • We propose an approach to extract and to classify facial features into some classes from one's photo as prepared classification standards to generate one's avatar. Facial Feature Extraction and Classification was executed at eyes, nose, lips, jaw separately and I presented each facial features and classification standards. Extracted Facial Features are used for calculation to features of professional designer's facial component images. Then, most similar facial component images are mapped onto avatar's vector face.

  • PDF

Face Image Illumination Normalization based on Illumination-Separated Eigenface Subspace (조명분리 고유얼굴 부분공간 기반 얼굴 이미지 조명 정규화)

  • Seol, Tae-in;Chung, Sun-Tae;Ki, Sunho;Cho, Seongwon
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2009.05a
    • /
    • pp.179-184
    • /
    • 2009
  • Robust face recognition under various illumination environments is difficult to achieve. For face recognition robust to illumination changes, usually face images are normalized with respect to illumination as a preprocessing step before face recognition. The anisotropic smoothing-based illumination normalization method, known to be one of the best illumination normalization methods, cannot handle casting shadows. In this paper, we present an efficient illumination normalization method for face recognition. The proposed illumination normalization method separates the effect of illumination from eigenfaces and constructs an illumination-separated eigenface subspace. Then, an incoming face image is projected into the subspace and the obtained projected face image is rendered so that illumination effects including casting shadows are reduced as much as possible. Application to real face images shows the proposed illumination normalization method.

  • PDF

An Adaptive Method For Face Recognition Based Filters and Selection of Features (필터 및 특징 선택 기반의 적응형 얼굴 인식 방법)

  • Cho, Byoung-Mo;Kim, Gi-Han;Rhee, Phill-Kyu
    • The Journal of the Korea Contents Association
    • /
    • v.9 no.6
    • /
    • pp.1-8
    • /
    • 2009
  • There are a lot of influences, such as location of camera, luminosity, brightness, and direction of light, which affect the performance of 2-dimensional image recognition. This paper suggests an adaptive method for face-image recognition in noisy environments using evolvable filtering and feature extraction which uses one sample image from camera. This suggested method consists of two main parts. One is the environmental-adjustment module which determines optimum sets of filters, filter parameters, and dimensions of features by using "steady state genetic algorithm". The other another part is for face recognition module which performs recognition of face-image using the previous results. In the processing, we used Gabor wavelet for extracting features in the images and k-Nearest Neighbor method for the classification. For testing of the adaptive face recognition method, we tested the adaptive method in the brightness noise, in the impulse noise and in the composite noise and verified that the adaptive method protects face recognition-rate's rapidly decrease which can be occurred generally in the noisy environments.

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
    • /
    • v.7 no.2
    • /
    • pp.328-333
    • /
    • 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.

Android-based Face detection using OpenCV (안드로이드 기반의 휴대용 스마트폰을 이용한 실시간 얼굴 검출)

  • Koo, Mose;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2020.11a
    • /
    • pp.1077-1079
    • /
    • 2020
  • 본 논문에서는 현재 활발히 연구 중에 있는 얼굴 인식의 전 과정인 얼굴 검출단계를 OpenCV를 이용한 안드로이드 기반의 휴대용 스마트폰으로 실시간 얼굴 및 눈 영역을 검출하는 어플리케이션의 개발을 수행하였다. 얼굴 검출 및 눈 검출 기술은 OpenCV에서 제공하는 실시간 얼굴 인식을 위해 이미지에서 얼굴의 특징을 찾는 기법 중 하나인 Haar-like Feature을 이용한 검출 방식을 사용하였다. 얼굴 검출 및 눈 검출에 대해 스마트폰에서 촬영한 이미지를 사용하여 구현 결과를 평가하였다.

An Implementation of Animal Face Recognition Model based on Convolutional Neural Network (CNN 기반 동물상 인식 모델 구현)

  • Park, Yong Bin;Ihm, Sun-Young
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2022.05a
    • /
    • pp.645-647
    • /
    • 2022
  • 최근 딥러닝 기반의 이미지 분류는 다양한 산업과 서비스에서 활용되고 있으며, 이미지 인식을 통한 다양한 테스트가 SNS를 통해 인기를 끌고 있다. CNN은 대표적인 이미지 분류를 위한 신경망 모델로 본 연구에서는 사진속의 얼굴에 대해 동물상 인식을 위하여 동물 얼굴 이미지 및 각 동물상을 대표하는 연예인의 이미지를 수집하고, CNN 기반의 동물상 인식 모델을 구현하였다.

A Design and Implementation of Missing Person Identification System using face Recognition

  • Shin, Jong-Hwan;Park, Chan-Mi;Lee, Heon-Ju;Lee, Seoung-Hyeon;Lee, Jae-Kwang
    • Journal of the Korea Society of Computer and Information
    • /
    • v.26 no.2
    • /
    • pp.19-25
    • /
    • 2021
  • In this paper proposes a method of finding missing persons based on face-recognition technology and deep learning. In this paper, a real-time face-recognition technology was developed, which performs face verification and improves the accuracy of face identification through data fortification for face recognition and convolutional neural network(CNN)-based image learning after the pre-processing of images transmitted from a mobile device. In identifying a missing person's image using the system implemented in this paper, the model that learned both original and blur-processed data performed the best. Further, a model using the pre-learned Noisy Student outperformed the one not using the same, but it has had a limitation of producing high levels of deflection and dispersion.

A Facial Feature Detection using Light Compensation and Appearance-based Features (빛 보상과 외형 기반의 특징을 이용한 얼굴 특징 검출)

  • Kim Jin-Ok
    • Journal of Internet Computing and Services
    • /
    • v.7 no.3
    • /
    • pp.143-153
    • /
    • 2006
  • Facial feature detection is a basic technology in applications such as human computer interface, face recognition, face tracking and image database management. The speed of feature detection algorithm is one of the main issues for facial feature detection in real-time environment. Primary factors like a variation by lighting effect, location, rotation and complex background give an effect to decrease a detection ratio. A facial feature detection algorithm is proposed to improve the detection ratio and the detection speed. The proposed algorithm detects skin regions over the entire image improved by CLAHE, an algorithm for light compensation against varying lighting conditions. To extract facial feature points on detected skin regions, it uses appearance-based geometrical characteristics of a face. Since the method shows fast detection speed as well as efficient face-detection ratio, it can be applied in real-time application to face tracking and face recognition.

  • PDF

A Study on Creation of 3D Facial Model Using Facial Image (임의의 얼굴 이미지를 이용한 3D 얼굴모델 생성에 관한 연구)

  • Lee, Hea-Jung;Joung, Suck-Tae
    • Journal of the Korea Society of Computer and Information
    • /
    • v.12 no.2 s.46
    • /
    • pp.21-28
    • /
    • 2007
  • The facial modeling and animation technology had been studied in computer graphics field. The facial modeling technology is utilized much in virtual reality research purpose of MPEG-4 and so on and movie, advertisement, industry field of game and so on. Therefore, the development of 3D facial model that can do interaction with human is essential to little more realistic interface. We developed realistic and convenient 3D facial modeling system that using a optional facial image only. This system allows easily fitting to optional facial image by using the Korean standard facial model (generic model). So it generates intuitively 3D facial model as controling control points elastically after fitting control points on the generic model wire to the optional facial image. We can confirm and modify the 3D facial model by movement, magnify, reduce and turning. We experimented with 30 facial images of $630{\times}630$ sizes to verify usefulness of system that developed.

  • PDF

Rapid face detection using depth information (거리 정보를 이용한 빠른 얼굴검출방법)

  • Lee, Cho-Il;Kim, Byeoung-Su;Kim, Whoi-Yul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2011.07a
    • /
    • pp.226-229
    • /
    • 2011
  • 얼굴검출기술의 발전으로 인하여, 다양한 분야에 얼굴 검출을 활용한 기술이 이용되고 있다. 최근 Viola 와 Jones 의 얼굴검출 방법이 신뢰도 있는 검출률과 빠른 연산속도로 인하여 주로 이용되고 있다. 하지만 고해상도 이미지와 제한된 하드웨어를 사용하는 시스템의 경우, 실시간 처리가 어려워지는 문제가 있다. 본 논문에서는 이와 같은 문제를 해결하고자 거리 정보를 이용한 빠른 얼굴검출방법을 제안한다. 속도 개선을 위해 먼저 거리 정보를 이용하여 영상의 불필요한 부분을 제거하고, 피부색상정보를 이용하여 관심영역을 설정한다. 또 크기에 대응하기 위해 피라미드 이미지를 이용하는 방법 대신, 거리 정보를 이용하여 얼굴의 크기를 추정한다. 마지막으로 검색창 내의 거리 분산을 계산하여, 평평하거나 굴곡이 심한 영역을 제거함으로 얼굴 검출 속도를 개선하였다. 실험결과 기존 방법에 비해 더 빠른 검출속도와 유사한 검출성능을 확인할 수 있었다.

  • PDF