Description: 便于使用的收集人脸图像建立数据库的工具程序。供人脸检测/识别/表情/姿态等模式识别、人工智能领域的研究者使用。可以方便地从网页中收集人脸照片，提供良好的交互界面对照片在模式识别，尤其是biometric领域中所需的各种属性进行标注，建立数据库。-easy-to-use collection of facial image database tools procedures. For Face detection/identification/expression/gestures, such as pattern recognition, artificial intelligence researchers in the field use. Can easily collected from the website pictures of faces with a good interface for photos in pattern recognition, particularly biometric field for the various attributes tagging, the establishment of databases. Platform: |
Size: 60416 |
Author:冯雪涛 |
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Description: humanface detection,the programme can be used to detect human faces from the complex background!-humanface detection, the program can be used to detect human faces f rom the complex background! Platform: |
Size: 1024 |
Author:zhangwei |
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Description: 人脸检测,需要opencv,用的是摄像头，之后对人脸进行检测。很简单也很实用。一共有三个全局函数。一看就能懂的。-Face Detection, the need for opencv, using a camera, after the detection of human faces. Very simple and practical. First there are three global function. First to see will be able to understand. Platform: |
Size: 420864 |
Author:xiaobao89 |
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Description: 对由光源颜色变化引起的图像色彩偏差,进行了校正,并在YCbCr颜色空间建立了Cb-Cr色度查找表和亮度信息联合的肤色模型,应用预处理技术,去除部分非人脸区域,减少人脸检测的搜索空间,并采用模板匹配方法在人脸候选区域检测人脸.实验表明,该方法能够有效的从复杂环境的彩色图像中检测出左右旋转不超过45°的人脸,且不受人脸表情、尺度和数目的影响,且错误率较低.-Color by the light source caused by the change of image color deviation, a correction, and YCbCr color space established a Cb-Cr chrominance and luminance information look-up table of the color model of the joint application of pre-treatment technology, to remove some non-human face region, Face detection to reduce the search space, using a template matching method in the face candidate region detection of human faces. experiments show that the method can be effective in complex environments from color images detected no more than about 45 ° rotation of the human face, and from Facial Expression, scale and number of impact, and lower error rate. Platform: |
Size: 191488 |
Author:lll |
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Description: This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Instructions for use and for compiling can be found in the Readme file.
Usage:
FaceDetect (<Haar Cascase XML file>, <Gray scale Image>)
The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are -1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face.
Example,
A = imread ( lena.jpg , JPG )
Img = double (rgb2gray(A))
Face = FaceDetect( haarcascade_frontalface_alt2.xml ,Img)
-This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Instructions for use and for compiling can be found in the Readme file.
Usage:
FaceDetect (<Haar Cascase XML file>, <Gray scale Image>)
The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are-1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face.
Example,
A = imread ( lena.jpg , JPG )
Img = double (rgb2gray(A))
Face = FaceDetect( haarcascade_frontalface_alt2.xml ,Img)
Platform: |
Size: 1295360 |
Author:ruan |
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Description: matlab做的人脸识别程序，定位和检测人脸。-matlab do face recognition program, positioning and detection of human faces. Platform: |
Size: 6144 |
Author:amanda |
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Description: 人脸检测和跟踪学位论文；人脸检测定位：运动区域检测预处理， 肤色区域的分割和利用二值形态学等操作的人脸粗检，利用眼、嘴特征的彩色信息检测的人脸细检，利用投影法检测眼睛和嘴巴亮块的人脸定位。提出了一种基于自适应肤色模型匹配与验证的方法对人脸进行跟踪-Face detection and tracking dissertation Face Detection positioning: Sports regional detection pretreatment, color region segmentation and the use of binary morphological operations, such as human faces rough seizure, the use of eyes, mouth features detection of color information Face Fine Frederick, using projection method bright eyes and mouth block face positioning. A model based on adaptive color matching and validation of the method of face tracking Platform: |
Size: 3622912 |
Author:田卉 |
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Description: 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-This matlab procedures used to detect and locate human faces and the human eye. Algorithm used in the color of skin are separated. Attachment of documents including eyematch.m, eyematch2.m, face.m, findeye.m, skin.m, k001.JPG and so on Platform: |
Size: 2217984 |
Author:王杰 |
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Description: 基于adaboost的构造的cascade用于快速检测人脸，能够实时检测视频中的人脸。没有采用opencv的代码。-Adaboost based on the structure of the cascade for the rapid detection of human faces, real-time video can face. Did not use the code opencv. Platform: |
Size: 1528832 |
Author:wangdi |
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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: |
Size: 13312 |
Author:gianni |
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Description: Face Detection
In this program you will choose a photo and program will detect faces in this photo Platform: |
Size: 4442112 |
Author:abc fdg |
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Description: 人脸检测的研究具有重要的学术价值，人脸是一类具有相当复杂的细节变化的自然结构目标，对此类目标的挑战性在于：人脸由于外貌、表情、肤色等不同，具有模式的可变性；一般意义下的人脸上，可能存在眼镜、胡须等附属物；作为三维物体的人脸影像不可避免地受由光照产生的阴影的影响。因此，如果能够找到解决这些问题的方法，成功地构造出人脸检测系统，将为解决其他类似的复杂模式的检测问题提供重要的启示。-Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.
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. The newer algorithms take into account variations in the image or video by factors such as f Platform: |
Size: 2994176 |
Author:力量 |
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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: the code is dealing with the detection of faces in an image. it is basically a face detection code Platform: |
Size: 2048 |
Author:sal89 |
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Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 3897344 |
Author:HIYAM |
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Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 4150272 |
Author:HIYAM |
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Description: face detection system in visual studio. detects the face and saves it the drive and also tells the no. of faces detected Platform: |
Size: 8712192 |
Author:richa |
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Description: 人脸识别，是基于人的脸部特征信息进行身份识别的一种生物识别技术。用摄像机或摄像头采集含有人脸的图像或视频流，并自动在图像中检测和跟踪人脸，进而对检测到的人脸进行脸部的一系列相关技术，通常也叫做人像识别、面部识别。(Face recognition is a biometric technology based on human facial feature information for identification. A camera or camera is used to collect images or videos that contain human faces, and detect and track faces automatically in the image, and then a series of related technologies for face detection of faces are also commonly known as face recognition and face recognition.) Platform: |
Size: 36864 |
Author:王者归
|
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Search - detection of faces