The invention discloses a method of two-dimensional face image recognition, pertaining to the field of pattern recognition and computer vision.
本发明公开了一种二维人脸图像识别的方法，属于模式识别和计算机视觉领域。
Experiment on face image recognition shows that the method has attractive features than LBP and LPQ which is the state-of-art local feature descriptors.
通过人脸图片识别实验表明特征描述算子具有比lbp、LPQ等著名的特征描述算子具有更好的性能。
As one of the most important applications of computer vision, pattern recognition and image processing, face recognition has recently received more and more extensive attention.
作为计算机视觉、模式识别和图像处理等领域的研究重点之一，近年来，人脸识别越来越受到研究人员的广泛关注。
This paper proposes a kind of face recognition algorithm based on image difference among the front face pictures with normal expression.
针对表情正常的正面人脸图像，提出了一种基于图像差值的识别算法。
The feature of skin color is an important feature of human being, which plays a key role in human face detection and recognition, objectionable image filtering based on content, etc.
肤色特征是人体表面的重要特征，在人脸检测与识别、基于内容的不良图像过滤系统中有着重要的地位。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
人脸轮廓提取是人脸特征检测和人脸识别等人脸图像分析的重要前提。
This paper proposes an image multi-orthogonal projection method for face recognition based on least class distance classifier.
论文提出了基于图像多路正交投影和最小距离分类器的人脸识别方法。
Based on the model of color image, color face image was recognized as a template for processing, and singular value vector was firstly applied to color face recognition.
基于彩色图像的四元数模型，将彩色人脸图像视为一个模板直接处理，并首次将奇异值向量应用到彩色人脸识别中。
Face recognition based on image fusion from visual and infrared images is a new study focus of the multimodal face recognition.
利用可见光图像和红外热图像进行图像融合是多模式人脸识别领域的一个新的研究方向。
The 3d face model is constructed for face recognition using the algorithm for the automatic adaptation of a generic 3d face model to the individual face in the image.
文章采用一种依据人脸图像对3d通用人脸模型进行自适应调整的有效算法，构造出特定的人脸模型并运用于人脸识别中。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.
基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。
A method of Two-Dimensional Locality Preserving Projections (2dlpp) for face recognition was proposed, based on modular image.
提出了一种基于图像分块的二维保局投影(分块2dlpp)的人脸识别方法。
Automatic face detection and recognition has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.
近些年来，自动人脸检测与识别在图像处理和计算机视觉领域引起许多学者的关注。
This paper examines the research situation on face image detection and recognition and designs a facial feature automatic extract system.
对人脸图像检测与识别技术的研究现状进行简要论述，并自行设计一个人脸特征自动提取系统。
A new fusion of PCA and NMF combined with image fusing for face recognition method is proposed.
提出一种结合图像融合的PCA与NMF相融合的人脸识别的识别方法。
Entering upon the "money recognition" and "face recognition" which are the hot points in digital image recognition, the digital image processing and recognition system is studied and discussed.
本文将从当前数字图像识别的热点问题“纸币识别”和“人脸识别”着手，来探讨数字图像处理与识别系统的开发。
The main work in this paper include: side face image detection, side face feature extraction and side face recognition and so on.
本文工作包括：侧面人脸的检测与定位，侧面人脸面部特征的定位与提取和侧面人脸的识别等内容。
It finds applications in various areas, such as face detection, face recognition, gesture recognition, expression recognition, face image compression and reconstruction, and face cartoon.
它可广泛应用于人脸跟踪、人脸识别、姿态识别、表情识别、头部像压缩及重构、脸部动画等领域。
Being a primary phase of face recognition, vision point tracing, and face image compression etc., inspecting human face out from the image background is the very first step.
作为人脸识别的重要的第一步，人脸检测所做的工作是将人脸从图像背景中检测出来，它是人脸识别、视点跟踪和人脸图像压缩等应用中的重要环节。
A great quantity of information in the face image makes it improper to be used to direct recognition.
人脸图像的庞大信息量使其不适合于直接识别。
The experimental results show that, the algorithm can be run well on face image classification and recognition comparing with other algorithms.
实验结果表明，与其它算法比较，此算法能够对人脸图像进行良好的分类识别。
The face recognition system pays much attention to whether an input image is matched with the training images.
人脸识别系统关注的是输入图像是否与人脸库的中的图像匹配；
Face recognition system adapted to some general environmental image to some extent needs a Robust, high efficient and real-time face detection system.
一个对一般环境图像具有一定适应能力的人脸识别系统，需要一个鲁棒的、高效的、实时的人脸检测系统。
The paper elaborates the design and implementation of face detection, face recognition, image acquisition and implementation of radio frequency-cards information access.
文中重点阐述了人脸检测识别软件的设计与实现、图像采集及射频信息读取的实现。
Face detection is the necessary earlier task in face recognition process, aiming at separating the face area from the background image.
人脸检测是人脸识别过程中的必要前期工作，其主要作用是将人脸部分从背景图像中分离出来。
The hardware system of face recognition consists of three main modules: image acquisition module, image processing module and the data output module.
人脸识别的硬件系统主要包括三个模块：图像采集模块、图像处理模块和数据输出模块。
The technology of the face recognition recognize face from static image and mobile image using computer as auxiliary means.
人脸识别技术就是以计算机为辅助手段，从静态图像或动态图像中识别人脸。
Face recognition based on video surveillance is a challenging task. It blends many subjects into a unity, such as pattern recognition, video image processing, computer vision, etc.
基于视频监控的人脸识别技术是融合模式识别、视频图像处理、计算机视觉等多学科的具有挑战性的课题。
Knowledge about digital image processing and pattern recognition is applied to do image preprocessing and face recognition about video image sequences.
首先尝试运用数字图像处理与模式识别领域的知识对于视频图像序列进行图像预处理与人脸识别。
应用推荐