Description: 人脸检测和识别算法程序matlab版 -face detection and recognition algorithms program Matlab version of face detection and recognition algorithms program Matlab version Platform: |
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Description: 人脸检测的matlab程序，很好用的一个小程序，较新的算法。-Face detection matlab procedures, very good with a small procedure, the newer algorithms. Platform: |
Size: 2064384 |
Author:李松 |
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Description: 人脸识别的毕业论文,里面有相关的算法和源码,希望大家能用上.-Face Recognition thesis, which has the relevant algorithms and source code, I hope everyone can be on. Platform: |
Size: 419840 |
Author:邹海翔 |
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Description: 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection Platform: |
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Author:王云 |
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Description: 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 Adaboost Platform: |
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Author:孙家冕 |
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Description: 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是
否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实
现机器智能化的重要步骤之一。
AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里
程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在
效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces. Face detection applications of a wide range of intelligent machines to achieve one of the important steps. AdaBoost algorithm is proposed in 1995 a fast face detection algorithms, Face Detection is a landmark of progress in the field, the weak learning algorithm based on feedback, adaptive adjustment of the error rate assumptions, so that efficiency is not reduced in the case of , the detection accuracy has been greatly improved. Platform: |
Size: 897024 |
Author:ashura |
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Description: 用matlab编写的人脸检测的算法，包含图片库，可以直接运行，检测出人脸在图片中的位置。-Matlab prepared with face detection algorithms, including image libraries, can be run to detect the face position in the picture. Platform: |
Size: 641024 |
Author:zw |
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Description: Face Detection的應用相當廣，本文使用銘傳大學電腦與通訊工程學系李棟良的人臉偵測與辨識系統這篇論文所提出的演算法加以實現，效果相當不錯。-Face Detection Application of quite broad, this article using the Ming Chuan University, Department of Computer and Communication Engineering李栋良face detection and recognition system proposed by this paper to the realization of algorithms, the effect has been quite good. Platform: |
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Author:eddie |
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Description: face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.-face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both. Platform: |
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Author:gianni |
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Description: 人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。 -Face recognition can be applied to identity authentication on Internet, now we have realized face recognition and tracking system based on WebCam. This essay takes video flowing collected from WebCam as data source, and cuts off Single frame in video flowing. It has realized face detection through transforming colored space, complexion modeling, aftertreatment and face orient algorithms, and based on which the essay has realized face tracking in video flowing.The result of the test shows that the face detection algorithms we realized adapts to short distant face detection, and also can be used as identity authentication based on WebCam. Platform: |
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Author:swl |
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Description: 图像领域中涉及到人脸检测方法的论述，较全面的总结了各种人脸识别方法及其所用算法。-Images of people involved in the field of face detection methods of exposition, a more comprehensive summary of the various face recognition methods and algorithms used. Platform: |
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Author:jose |
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Description: MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can be run directly run the facedec Platform: |
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Author:Brad Bibson |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
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Author:minu |
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Description: 基于生物特征的识别技术是一门利用人类特有的个体特征来证实个人身份的科学,它提供了一种基于唯一的、高可靠性和稳定的人体生物特征的新的身份鉴别途径,是身份识别的一种最安全的方式。人脸是人类视觉中最为普遍的模式,人的面部所表现的视觉信息在社会交流和交往中有着重要的作用和意义。虽然近几十年来出现了大量的人脸检测与识别的算法,但识别率、识别速度以及算法鲁棒性等方面还是不够理想。因此本文对人脸检测与识别进行了深入地研究-Based on biometric identification technology is a use of human-specific individual characteristics to confirm the personal identity of science, it provides a single-based, high reliability and stability of human biological characteristics of the new way of identification, identity identified one of the most secure way. Face is the most common human visual model, the human face of the performance of the visual information in social communication and interaction plays an important role and significance. Although there have been massive in recent decades, face detection and recognition algorithms, but the recognition rate, recognition speed and robust algorithms, etc., or less than ideal. Therefore, this article on the human face detection and recognition of in-depth study of Platform: |
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Author:夏天 |
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Description: 提出了一种多姿态知识模型, 并以之从人脸器官梯度图中获得候选脸的大小、位置、姿态类别和眼、嘴重心坐标, 然后
按姿态类别将候选脸与对应的模板进行匹配确认人脸. 该人脸检测算法集人脸检测、姿态估计和眼、嘴定位于一体, 具有检测速
度快的特点, 适于多姿态多人脸场合的人脸检测. 该算法只利用了图像的灰度信息, 因此对灰度图像和彩色图像的人脸检测均
适用.-Proposes a multi-gesture knowledge model, and to the organs of the gradient map from the human face to get the candidate face size, location, posture, type and eyes, mouth center coordinates, and then press the gesture categories will face a candidate to match with the corresponding template to confirm face. The set of face detection algorithms face detection, pose estimation, and eyes and mouth position in one, with detection of the characteristics of speed, suitable for Multi-pose face of occasions more than face detection. The algorithm uses only images grayscale information, so the grayscale images and color images of face detection apply. Platform: |
Size: 480256 |
Author:天使 |
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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: |
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Author:linuszhao |
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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: 基于adaboost的人脸检测识别算法，在复杂背景下有很好的检测效果-Good detection in complex background based on face detection and recognition algorithms in adaboost Platform: |
Size: 5120 |
Author:大飞 |
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Description: 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的，因此适合于功率受限的应用。(Face detection and tracking is an important and active research field, and it has a wide range of applications in video surveillance, biometrics, video coding and other fields. The goal of the project is to implement real-time systems on the FPGA board to detect and track faces. Face detection algorithms include skin segmentation and image filtering. The location of the human face is determined by calculating the centroid of the detected region. The software version of the algorithm is implemented independently and tested on MATLAB still images. Although the conversion from MATLAB to Verilog is not as smooth as expected, the experimental results demonstrate the accuracy and effectiveness of real-time systems, even in different light, facial gestures and color conditions. All hardware implementations are performed in real-time with minimal computational complexity and are therefore suitable for power constrained applications.) Platform: |
Size: 63488 |
Author:合发
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Search - face detection algorithms