Description: 详细给出了一个完整的人脸检测算法。对于实际应用有一定的参考价值-detail given a complete face detection algorithm. For practical application of a certain reference value Platform: |
Size: 67584 |
Author:白云城主 |
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Description: 基于MATLAB的人脸检测程序，该代码对人脸检测算法的具体实现有很好的参考价值。-MATLAB-based Face Detection procedures, The code of face detection algorithm is a concrete realization of a very good reference value. Platform: |
Size: 20480 |
Author:李琳莉 |
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Description: 用adaboost算法检测人脸时，主要是用Haar特征，这个是用c++编写的代码，欢迎大家下载并参考-with adaboost Face Detection Algorithm, it is mainly used Haar features, This is used to prepare the c code and you are welcome to download and reference! Platform: |
Size: 8192 |
Author:程艳花 |
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Description: 这是一篇现在主要的基于adaboost算法的文章，详细讲述了怎么运用该算法做人脸检测，欢迎下载！-This is now a major adaboost algorithm based on the article, described in detail how the use of the human face detection algorithm, download welcome! Platform: |
Size: 107520 |
Author:程艳花 |
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Description: 基于模板匹配与支持矢量机的人脸检测
梁路宏 艾海舟 肖习攀 叶航军 徐光佑 张钹
。本文提出了一种将模板匹配与支持矢量机（SVM）相结合的人脸检测算法。算法首先使用双眼—人脸模板对进行粗筛选，然后使用SVM分类器进行分类。在模板匹配限定的子空间内采用“自举”方法收集“非人脸”样本训练SVM，有效地降低了训练的难度。实验结果的对比数据表明，该算法是十分有效的。-Based on template matching and support vector machine Face Detection Liang Wang Ai Haizhou Road, Xi Pan Xiao Ye Zhang Bo Xu Guangyou military aircraft. This paper proposes a template matching and support vector machine (SVM) a combination of face detection algorithm. Algorithm the first to use both eyes- face template to carry out coarse filter, and then use the SVM classifier to classify. Template matching in the sub-space limit the use of Platform: |
Size: 1135616 |
Author:cy |
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Description: 一种基于AdaBoost的快速动态人脸检测算法.rar
CAJview 打开-AdaBoost based on the rapid dynamic face detection algorithm. RarCAJview Open Platform: |
Size: 162816 |
Author:shj |
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Description: 亮度人脸检测算法，能快速识别人脸，精度高，速度快-Brightness of face detection algorithm to quickly identify human faces, high precision, fast Platform: |
Size: 1024 |
Author:范一峰 |
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Description: 基于肤色的人脸检测定位算法，程序可以实现人脸的服色检测，分割，眼睛，等的定位-Based on the color of the face detection algorithm, the program can realize the service face-color detection, segmentation, eyes, such as the positioning of Platform: |
Size: 3621888 |
Author:www |
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Description: 一个非常好的人脸检测算法，可以进行补光处理，人脸区域的检测，人嘴眼的定位匹配-A very good face detection algorithm, can deal with fill light, Face region detection, human mouth to match the positioning of eyes Platform: |
Size: 985088 |
Author:ktj |
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Description: 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do？的ObjectID = 13701＆的objectType =FILE下载。
-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.
A Matlab version of the face detection algorithm can be downloaded
from http://www.mathworks.com/matlabcentral/fileexchange/
loadFile.do?objectId=13701&objectType=FILE. Platform: |
Size: 1397760 |
Author:霞 |
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Description: 基于fpga的人脸识别，包括硬件平台的搭建的详细过程，人脸识别算法的详细程序代码。-Fpga-based face recognition, including the hardware platform to build a detailed process of face recognition algorithm detailed code. Platform: |
Size: 432128 |
Author:tiger |
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Description: Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences. Platform: |
Size: 293888 |
Author:linuszhao |
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Description: 针对LBP的人脸检测算法的文章3篇，区别于adaboost的人脸检测算法，opencv有相应的训练数据库。-For three of the articles of the LBP face detection algorithm, the face detection algorithm is different from adaboost, opencv training database. Platform: |
Size: 1721344 |
Author: |
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Description: 人脸检测算法，课对输入的人脸图片进行检测，勾画出人脸位置。-Face detection algorithm, the input class face image detection, lays out the face position. Platform: |
Size: 2048 |
Author: |
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Search - face detection algorithm