Description: 针对人脸识别中图像前期处理的人脸图像归一化问题，用AdaBoost Cascade方法检测出人脸和眼裂，提出以两眼裂中心点连线为基准进行水平旋转和尺度的归一化矫正方法。与通常的利用两眼瞳距方法相比较，该方法更加快速准确，能处理多达20°的倾斜，对戴眼镜、图像模糊、俯视、仰视、斜视等情况的鲁棒性更好。
A novel approach was presented, using the line between the two center points of the palpebral fissures of two eyes to normalize the face images for the image pretreatment of face recognition. The AdaBoost Cascade method was used to detect faces and palpebral fissures. It could deal with tilt from 0°to 20°, and get more robust outcomes than that using the line between two pupils commonly in dealing with the image being veiled, overlooking, looking up, sidelong and having on glasses. Platform: |
Size: 614400 |
Author:lichaoyou |
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Description: 基于opencv和vc++2005，用adaboost实现的人脸检测系统，检测率很高，速度很快，值得看看！-Based on the opencv and vc++ 2005, realize with AdaBoost Face Detection system to detect a high rate of speed very quickly, it is worth to see! Platform: |
Size: 3620864 |
Author:僧竿 |
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Description: 人脸检测系统源码，准确定位，检测人脸，具有很强的抗噪能力，背景去除，最最关键的一步是肤色匹配，提供了人脸模型，算法自己看，绝对好东西-Human face detection system source code, accuratly position and detect face, which has a strong anti-noise ability. It is widely used in machine vision, pattern recognition, security and other fields, the most crucial step is color match, definitely a good thing Platform: |
Size: 3064832 |
Author:yangle |
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Description: 一个基于adaboost的人脸检测分类器训练程序，用MATLAB写的，希望能和大家分享-a face detect programme based on adaboost which is written by matlab Platform: |
Size: 1024 |
Author:阿灿 |
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Description: 在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像,
再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较
准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
And then obtain the candidates for the eye point, a comprehensive separation of information and the results of Hough transform to calculate the cost of each eye to the function, to find more
Exact location of the eye. Platform: |
Size: 509952 |
Author:张正荣 |
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Description: 利用adaboost算法进行人脸识别，检测一副静态或动态图像中的人头数目-Adaboost algorithm using face recognition, image detection of a static or dynamic number of head Platform: |
Size: 12482560 |
Author:张力 |
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Description: The project tends to detect and track human face in a video via some basic algorithms. It uses adaboost for detection and camshift for tracking. It works well in stable environment. Platform: |
Size: 4370432 |
Author:linuszhao |
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Description: adaboost算法用于检测人脸人眼。。。该用法能快速准确的定位人脸和人眼-adaboost algorithm is used to detect the face of the human eye. . . The usage of fast and accurate positioning human face and the human eye Platform: |
Size: 2048 |
Author:LinShaohui |
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Description: 视频跟踪是视频信息处理的一个重要研究方向。交通信息管理、公安刑事侦查过程中人的跟踪占有很大比例。基于人脸特征的视频跟踪主要研究视频信息中人脸特征的提取，人脸特征的对比算法，人的运动的分析方法，及跟踪方法，跟踪结果的表示。- criminal investigation,anti-terrorism and military installations. Consequently, to recognize person identity speedy and exactly in large-scale crowd has become an important way to protect the public social security, guarantee national harmony and reinforce pre-warning capability in public safety.This paper designs a real time automatic face detection, tracking and recognition system for video, which can detect, track faces and recognize human identity within the scope of video. The system consists of three parts, which are multi-face detection, multi-face tracking and identity recognition.
For face detection, this paper presents an face detection algorithm called Adaboost-ASM face detection algorithm, combines Adaboost face detection algorithm with the adaptive shape model (ASM), to solve the problem that Adaboost face detection algorithm recognizes the non-face region and complex region as a face region mistakenly.Finally, the Adaboost-ASM algorithm achieves the real time face Platform: |
Size: 641024 |
Author:bai |
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Description: This thesis proposes a novel algorithm for integrated face detection and face tracking
based on the synthesis of an adaptive particle filtering algorithm and an AdaBoost face detection
algorithm. A novel Adaptive Particle Filter (APF), based on a new sampling technique, is
proposed to obtain accurate estimation of the proposal distribution and the posterior distribution
for accurate tracking in video sequences. The proposed scheme, termed a Boosted Adaptive
Particle Filter (BAPF), combines the APF with the AdaBoost algorithm. The AdaBoost
algorithm is used to detect faces in input image frames, while the APF algorithm is designed to
track faces in video sequences. The proposed BAPF algorithm is employed for face detection,
face verification, and face tracking in video sequences. Experimental results confirm that the
proposed BAPF algorithm provides a means for robust face detection and accurate face tracking
under various tracking scenarios. Platform: |
Size: 1057792 |
Author:Trabelsi |
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Description: C实现的基于adaboost算法的人脸检测程序及人脸库-C-based implementation adaboost algorithm face detection process and face Platform: |
Size: 23943168 |
Author:周鹏 |
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Description: 基于opencv的haar+adaboost训练器的人脸和人眼检测，带有训练好的xml文件。-Opencv based haar+ adaboost face and eye detection trainer, having trained xml file. Platform: |
Size: 1642496 |
Author:徐恒 |
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Description: 人脸检测：
第一部分，使用Harr-like特征表示人脸，使用“ 积分图”实现特征数值的快速计算;
第二部分， 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器)，按照加权投票的方式将弱分类器构造为一个强分类器;
第三部分， 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器，级联结构能有效地提高分类器的检测速度。(Face detection:
In the first part, the Harr-like feature is used to represent the human face, and the "integral graph" is used to realize the fast calculation of feature values;
In the second part, the Adaboost algorithm is used to select some rectangular features (weak classifiers) that represent the human face, and the weak classifier is constructed into a strong classifier according to weighted voting;
In the third part, a series of strong classifiers are formed in series to form a cascade classifier with cascading structure, and the cascade structure can effectively improve the detection speed of classifier.) Platform: |
Size: 2048 |
Author:14024235
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