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这是一个用vc++实现的基于肤色的人脸识别系统，包括人脸的检测、定位，特征提取、识别。-This is a used vc++ Achieve color-based face recognition systems, including face detection, location, feature extraction, identification.
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基于Gabor特征提取和人工智能的人脸检测系统源代码-Gabor-based feature extraction and artificial intelligence source code of face detection system
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SIFT特征点检测算法是一种有效的图像特征检测法，对旋转、尺度，光照变化都具有一定的鲁棒性。-SIFT feature detection algorithm is an effective method of image features, rotate, scale, the light changes robustness。
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本文的目的是借助Paul Viola最新提出的实时特征检测的技术，实现一个能够进行快速人脸检测的系统。并且通过训练，得到尽可能优化的分类器构造参数，从而获得具有高检测速度和检测正确率的人脸检测系统。-The purpose of this paper by drawing on the latest proposed by Paul Viola real-time feature detection technology, to realize a fast face detection sys
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基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neur
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通过人脸图像归一化，人脸检测，特征提取等处理后，实现人脸识别功能-Through the Human face image normalization, face detection, feature extraction, such as treatment, the realization of face recognition feature
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使用Gabor-Feature 的人脸检测matlab程序，自带测试图像-Face Detection using Gabor-Feature Extraction and Neural Networks
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基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
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人脸识别－仅对静态图片The output of this code is mainly required for feature detection or facial expression recognition purpose.
give the input(name of the image) at the 1st line of the facedetection.m file & run the file.
The face_database folder contain
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Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bay
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ADABOOST用于人脸检测的训练和分类程序改进，速度更快。-FOR FACE DETECTION FEATURE EXTRACTION AND CLASSIFICATION WITH QUICKER SPEED
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实现了人脸跟踪识别以及特征检测的功能，该程序支持AVI的视频图像检测-Achieved recognition and face tracking feature detection function, the program supports AVI video image detection
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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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通过一系列凸显预处理，实现人脸边缘检测。然后提取出眼、鼻、口三处特征点、并标记出来。-Highlighted by a series of pre realize the face edge detection. Then extract the eyes, nose, mouth three feature points, and marked.
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Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.
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Face Detection using Gabor feature extraction and neural network by matlab
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人脸检测和特征点定位，包括眼睛，鼻子，嘴-Face detection and eyes,noses,mouth detection.
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Face Eyes Detection using Gabor Wavlet
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SURF算法和OpenCV的人脸特征检测技术研究 -SURF algorithm and OpenCV Face Feature Detection Technology
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程序实现人脸特征的检测和定位，可以识别并标注眉毛，眼睛，鼻子，嘴巴以及耳朵。能用于单人和多人脸图的检测识别，效果不错。-This is a human facial feature detection and location program. It can be applied to detect both single and multiple face images.
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