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此matlab程序，用来检测并定位人脸及人眼。采用的算法是肤色的颜色分隔。附件中的文件包括 eyematch.m, eyematch2.m, face.m, findeye.m,skin.m, k001.JPG等等,This matlab procedures used to detect and locate human faces and the human eye. Algorithm used in the color of skin are separated. Attachment
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介绍了一些人脸检测的最新动态以及一些好的算法研究。-Describes some of the latest developments in face detection algorithm as well as some good.
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关于消除红眼的一些帮助算法，可以帮助一些对不了解这些方面知识的同学了解相关知识。-On the elimination of some of the red-eye to help algorithm that can help some students do not understand these knowledge to understand the relevant knowledge.
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改进后的人脸识别算法，比传统方法更加的精准，并且难度也更大。-mproved face recognition algorithm, more accurate than traditional methods, and the more difficult....
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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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人脸检测程序，利用adaboost和M2算法检测人脸-Face detection procedures, the use of AdaBoost M2 algorithm and Face Detection
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在人脸检测中，使用Adaboost算法在一幅图像中检测出人脸具有比以往算法都要高的效率，这几篇论文是有关Adaboost方面的-Human Face Detection in the use of Adaboost algorithm in an image detected with people face higher than the efficiency of algorithms, this thesis is related to several aspects of Adaboos
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采用adaboost算法用于人脸检测，实现较快的人脸识别。使用MATLAB语言编写。-Using adaboost face detection algorithm is used to achieve a faster face recognition. Using the MATLAB language.
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人脸检测算法，其检测率高，效果优越，可与adaboost算法相媲美。-Face detection algorithm, the detection rate, excellent results can be comparable with adaboost algorithm.
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this is a SDK for face detection algorithm.
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基于聚类算法和模式识别的人脸检测matlab程序原代码-Clustering algorithm based on pattern recognition and face detection matlab program source code
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Face Detection using adaboost algorithm-Face Detection using adaboost algorithm.....................
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本文对人脸识别技术中的检测和识别分成两部分进行了讨论。首先, 系统的整理分析了人脸检测的各种方法。其次, 作为
人脸识别技术的第二个环节, 对人脸的各种识别方法进行了比较性的论述, 重点讨论了当前热点的识别算法。最后对人脸
识别技术的发展方向进行了展望。-This face recognition technology for the detection and identification are discussed in two parts. First, the system an
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gpu based face detection algorithm using opencv
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基于adaboost的人脸检测算法，对于初学者来说用很大的帮助-Adaboost-based face detection algorithm for beginners great help
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Lets see how to detect face, nose, mouth and eyes using the MATLAB built-in class and function. Based on Viola-Jones face detection algorithm, the computer vision system toolbox contains vision.CascadeObjectDetector System object which detects objec
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代码实现的采用AdaBoost算法进行人脸检测，采用笔记本摄像头读入程序-Code using AdaBoost face detection algorithm, using notebook camera reading program
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a face detection algorithm that uses opencv an cpp visual studio 2012 IDE are required
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face detection algorithm code
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人脸检测算法，可以在背景图中将人脸圈出，以便于后续的工作展开(The face detection algorithm can circle the face in the background map so as to facilitate the follow-up work.)
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