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Real time Face Detection/motion detection in Matlab
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基于Gabor特征提取和人工智能的人脸检测系统-Face Detection System Based on Gabor Feature Extraction and Artificial Intelligence
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基于matlab的人脸识别源代码,可以调用摄像头来识别人脸。-Face detection based on matlab source code
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ASM算法 MATLAB源代码
人脸特征点定位的目的是在人脸检测的基础上,进一步确定脸部特征点(眼睛、眉毛、鼻子、嘴巴、脸部外轮廓)的位置。定位算法的基本思路是:人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mou
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object detection using KLT algorithm
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matlab 的
简单人脸检测程序 解压就能用(Matlab
Simple face detection procedures, decompression can be used)
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matlab中的adaboost人脸检测算法(AdaBoost face detection)
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人脸检测 matlab+caffe+cuda(face detection: matlab+caffe+cuda)
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详细讲解了25个MATLAB图像与视频处理实用案例(含可运行程序),涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility
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face detection algorithm in matlab
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Face detection and recognition system using matlab
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人脸识别和分割,用于图片中人脸的检测与标出,编程语言为matlab(face detect and aligement)
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用于人脸识别中的人脸检测,准确率还可以。(For face recognition in face detection, the accuracy rate can also be)
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关于Matlab人脸检测的代码:批量读取图片,将灰度图变为三通道图,对图像进行人脸检测,输入图像灰度化,得到人脸区域框的中心点,以中心点为基准进行外扩(即对人脸选框进行调整)。(Face detection program, a very new good detection effect. You can download to try, but to choose the right test file.)
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主要是用于图像处理,程序是基于matlab开发的(Face detection for image)
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可以打开视频文件,对视频文件中的人头进行检测并统计数量。算法有HOG RCNN 及Aggrate Channel Features三种(You can open the video file, the head of the video file to detect and statistics. Algorithm HOG RCNN Aggrate Channel Features tionchannel three)
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人脸检测的matlab代码,能对人脸进行快速检测和分割(The matlab code of face detection can detect and segment the face fast)
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face detection using matlab
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We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks
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pca人脸识别算法,人脸检测,欧式距离,特征向量求法等。(PCA face recognition algorithm, face detection, Euclidean distance, eigenvector method and so on.)
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