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日本ATR(Advanced Telecommunication Research InstituteInternational)的专门用于表情识别研究的基本表情数据库JAFFE,该数据库中包含了213幅(每幅图像的分辨率:256像素×256像素)日本女性的脸相,每幅图像都有原始的表情定义。表情库中共有10个人,每个人有7种表情(中性脸、高兴、悲伤、惊奇、愤怒、厌恶、恐惧)。 JAFFE数据库均为正面脸相,且把原始图像进行重新调整和修剪,使得眼睛在数据库图像中的位置大致相同,脸部尺寸基本一致,光
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脸部模式识别,已经经过调试完成,没有错误-Facial pattern recognition, has been commissioning completed, no errors
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摘 要: 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法, 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点
集, 分别计算各部分的改进 Ha u s d o r f f 距离, 然后进行加权计算相似度。利用该方法, 在 A S M( 主动形状模型) 定位人脸的基础上进
行了人脸检索。 实验表明, 利用人脸相似度计算方法对人脸特征库进行搜索, 达到 了较好的效果。同时结合 A S M 自动人脸检测, 本
方法可以全自动完成人脸匹配, 应
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图像处理,二字化,脸部轮廓特征识别,速度比较快-Image processing, word-based, facial contour feature recognition, the speed is faster
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Running this funciton each time to compute the LBP-TOP distribution of one video sequence.
Reference:
Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns
with an application to facial expressions,"
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This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure
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近年来,面部识别技术已经备受关注,其研究已迅速,因为它有许多在计算机视觉通讯和控制系统,自动存取的应用潜力。特别是,人脸检测是一种面部识别作为自动人脸识别第一步的重要组成部分。
然而,人脸检测并不简单,因为它需要用到许多技术,如构成变化(前,非前),闭塞,形象定位,照明条件和面部表情的变化-In recent years, face recognition technology has been concern that its research has rapidly because it
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几组不错的“表情图组”,学习人脸表情识别的人,希望对你们有用。-Several groups of good "face map group" to study facial expression recognition, hope helpful for you.
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emotion recognition to facial driver emotions state
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crete database recognition emotion for facial driver emotions stste
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完整的表情识别系统一般包括人脸表情图像捕获、预处理、人脸检测与定位、
人脸分割与归一化、人脸表情特征提取、人脸表情识别。本文着重研究了人脸表
情特征提取、特征选择及表情分类等关键问题,并提出了一些改进的方法,同时
进行了仿真实验-Complete expression recognition systems typically include facial expression image capture, preprocessing, face detection and loca
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人脸特征识别运用VC++编程实现,希望能对在做人脸识别的有帮助!-Facial feature recognition using VC++ programming, hoping to help in doing face recognition!
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人脸特征提取方法PCA,作为主流的识别算法pca降低的图像向量的维数-Facial feature extraction methods PCA, pca as mainstream recognition algorithm reduces the dimension of image vector
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机器学习和模式识别的常用算法,独立主元分析,常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码-Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.
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广义的人脸识别实际包括构建人脸识别系统的一系列相关技术,包括人脸图像采集、人脸定位、人脸识别预处理、身份确认以及身份查找等;而狭义的人脸识别特指通过人脸进行身份-Construction of broad recognition, including face recognition system actually a series of related technologies, including facial image capture, face detection, face reco
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context
people s names and facia
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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