Method of Automatic Face Recognition Based on Fuzzy Multiple Feature Combination 一类基于多特征模糊加权的人脸自动识别算法
The Application of Automatic Face Recognition for Online Testing System 自动人脸识别在网上考试系统中的应用
Face Detection plays a key role in automatic face recognition. 人脸检测是自动人脸识别中的关键环节。
Automatic Face Recognition ( AFR) includes two tasks: identification and verification. 自动人脸识别技术包含人脸辨识和人脸确认两类不同的任务。
Automatic face recognition is an identification technology that it analyzes face image with computer for getting effective recognition information. 自动人脸识别是利用计算机分析人脸图像,从而提取出有效的识别信息,用来辨认身份的一门技术。
Research on Automatic Face Recognition 人脸自动识别中若干问题的研究
A complete automatic face recognition system consists of three main parts: detecting the human face from the image, extracting the face feature and recognizing face. 一个完整的人脸自动识别系统分为三个主要的环节:从图像中检测、分割人脸;
Face detection is important in automatic face recognition. The difficulty in training a face pattern classifier as face detector is due to the diversity and complexity of face characteristic. 人脸检测在自动人脸鉴别工作中具有重要的意义,由于人脸图像特征的复杂性和多样性,使得人脸模式分类器的训练十分困难。
Automatic face recognition is the main research hotspot of artificial intelligence and mode recognition. Many methods have been used for human face recognition and the method based on the neural network is the main research aspect recently. 人脸识别是当前人工智能和模式识别的研究热点,其方法层出不穷,而基于神经网络的方法是最近几年比较活跃的一个研究方向。
Automatic Face Recognition ( AFR) is challenging in image processing and analyzing. 自动人脸识别技术(AFR)是一项极具挑战性的前沿研究课题。
Automatic Face Recognition Method Based on ICA and Maximum Entropy Modeling 基于独立分量分析和最大熵模型的人脸自动识别方法
Statistics Based Automatic Face Recognition System 基于统计的自动人脸识别系统
Face detection is the first step for any fully automatic face recognition system, and also a step in many surveillance systems towards Automatic Target Recognition ( ATR) or generic object detection/ recognition. 人脸检测是全自动人脸识别系统和许多监视系统的第一步,也是自动目标识别和通用物体检测的重要方面,在智能人机接口、数字视频处理、保安等领域有着极为广泛的应用价值。
A typical automatic face recognition system consists of the following function: image obtaining, face detection and location, image preprocessing, feature extraction, classifier designing and deciding. 一个自动人脸识别系统的主要组成部分是图像获取、人脸的检测定位、人脸图像预处理、特征提取、分类器设计和决策部分。
Research on Automatic Face Recognition and It's Implementation in Identity Authentication System 自动人脸识别技术研究及其在人员身份认证系统中的实现
With the development of Electronic& Information technology all over the world, the fast and effective automatic face recognition ( FR) system is concerned by the researchers. 随着全球电子信息技术的迅猛发展,快速有效的自动人脸识别系统受到研究者的普遍关注。
And propose a system solution of candidates identification based on automatic face recognition method to meet the practical need of the verification of candidates who take part in examination. 针对具体应用对考生身份验证的需求进行了分析,提出了一个基于自动人脸识别方法的考生身份验证系统。
As one of the most successful applications of image processing and analysis in the field of biometric authentication, Automatic Face Recognition ( AFR) is now a hotspot and attracting more and more scholars to research it. 作为图像处理和图像分析在生物特征认证领域最成功的应用之一,自动人脸识别(AutomaticFaceRecognition,AFR)最近几年来成为研究热点,受到广大学者的特别关注。
Face detection is originally derived from face recognition, which is the key section of automatic face recognition system. 人脸检测问题最初来源于人脸识别,是自动人脸识别系统中的一个关键环节。
In this paper, the automatic face recognition technology is used to study the classification of ethnic minorities, in which the feature extraction and recognition technology is the keystone. 本文利用自动入脸识别的相关技术研究了民族面部识别领域的内容,重点研究了其特征提取及其识别技术。
Automatic Face Recognition is an advanced subject in the biologic recognition at present. 人脸自动识别系统是目前生物识别领域的热门研究课题,其关键技术之一是人脸检测。
Pretreatment and feature extraction occupies a very important role in the automatic face recognition system. 在人脸识别领域中预处理和特征提取占有非常重要的地位。
A fully automatic face recognition system contains face detection, feature extraction and recognition. 自动人脸识别系统包含人脸检测、特征提取、识别三个部分,本文讨论的是不含人脸检测的半自动人脸识别系统。
The paper "face recognition in intelligent video surveillance" means to apply face recognition technology in intelligent video surveillance system and achieve real-time and automatic face recognition system. 智能视频监控中的人脸识别技术就是把人脸识别应用到智能视频监控系统中,构建实时自动的人脸识别系统。
As a key link of the automatic face recognition system, face detection has got attracted attention gradually. 人脸检测作为自动人脸识别系统的一个关键环节,开始逐步引起人们的重视。
Automatic Face Recognition ( AFR) mainly studies on how to give a computer the capability of recognizing identification through people faces. As a research field of pattern recognition, it not only has very important scientific significance, but also has great commercial application values. 自动人脸识别(AFR)主要研究如何赋予计算机通过人脸辨别人物身份的能力,作为模式识别的一个研究领域,不仅具有非常重要的科学意义并且商业应用价值巨大。
Automatic Face Recognition ( AFR) is a technology for person authentication by using the digitized facial features. For the past two decades, it has become one of the most challenging research topics in the field of image processing, pattern recognition and computer vision. 人脸自动识别是一种利用计算机分析人脸图像特征以实现人的身份验证的技术,是近二十年来图像处理、模式识别和计算机视觉领域中极富挑战性的研究课题之一。
Automatic face recognition ( AFR) technology is a challenging task. It involves image processing, pattern recognition, computer vision, neural network and other subjects. 自动人脸识别技术涉及图像处理、模式识别、计算机视觉、神经网络等多门学科,是一个富有挑战性的课题。
In recent years, with the rapid development of biometric identification, artificial intelligence and the new generation of human-computer interaction technique, automatic face recognition has become the research hotspot because of its convenience, friendliness and reliability. 近年来,随着生物鉴别、人工智能以及新一代人机交互等技术的迅猛发展,自动人脸识别因其方便性、友好性和可靠性成为研究的热点。
Face detection has important application value in information security, video monitoring, automatic face recognition, man-machine interactive and other fields. 人脸检测在信息安全、视频监控、自动人脸识别以及人机交互等领域有着重要的应用价值。