Location:
Search - face region
Search list
Description: 人脸定位与识别的VC++实例。提供了友好的操作界面。输入人脸图像后，提供两种人脸区域的检测方法。然后在人脸区域中可自动标记眼睛、嘴巴、鼻子及边缘提取。-Face recognition and positioning of VC examples. Provide a friendly interface. Face image input, provide two kinds of people in the region face detection method. Then people in the region face an automatic marking the eyes, mouth, nose and edge extraction.
Platform: |
Size: 69632 |
Author: leilin |
Hits:
Description: 对一幅带有人脸信息的24位真彩色bmp文件,通过基于肤色信息的彩色图象分割法,对人脸区域的检测,以及区域标定-On a piece of information with a human face 24 true color bmp files, color information based on color image segmentation method of human face region detection, as well as regional calibration
Platform: |
Size: 771072 |
Author: 王媛琼 |
Hits:
Description:
基于肤色的人脸检测方法，包括肤色模型建立和肤色分割过程两大部分内容。在比较了颜色空间和两种模型后，选择了在 YCbCr 空间建立高斯模型。输入图像经过相似度计算、阈值分割、最后得到人脸区域。-Based on the color of the face detection methods, including color, model and color segmentation process most of the contents of the two. In comparing the color space and the two models, the choice in the YCbCr space to establish Gaussian model. After the input image similarity computation, threshold segmentation, and finally get face region.
Platform: |
Size: 1524736 |
Author: 刘向阳 |
Hits:
Description: 完成人脸检测、人眼定位和嘴巴定位.把得到的人脸区域用绿色矩形标注，处理竖直的两条边-Complete face detection, the human eye and mouth positioning positioning. To get face region marked by the green rectangle, deal with the two vertical edges
Platform: |
Size: 3262464 |
Author: 李旭锋 |
Hits:
Description: 非常好的人脸检测代码,可对彩色人脸进行分割,识别出人脸区域,表识出来,速度也很快-Very good face detection code, may face color segmentation, to identify the face region, table knowledge out quick
Platform: |
Size: 284672 |
Author: 叶开 |
Hits:
Description: 人脸检测测试程序, 提供了图像预处理, 人脸区域检测, 人嘴检测, 人眼检测, 人嘴检测的算法和实现.-Face detection test procedures to provide image preprocessing, face region detection, human mouth detection, eye detection, mouth detection algorithm people and realized.
Platform: |
Size: 1122304 |
Author: 刘志远 |
Hits:
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 |
Hits:
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 |
Hits:
Description: 本文介绍了一种灰色图像识别中进行人眼睛定位的算法,首先是根据人脸的水平灰度直方图来确定眼睛的位置,然后,
通过计算眼眶部分像素点的垂直灰度直方图来确定两眼中心,接着从获得的区域中找出一定数量的灰度值小的点,对这些点进行添加、删除和计算,实现眼睛的定位．-In this paper, a gray image recognition in the human eye location algorithm, the first is based on the level of facial histogram to determine the location of the eyes, and then, by calculating the orbital part of the vertical pixel histogram to determine the two Eye Center, and then from the region access to a certain number of gray value to identify a small point, on these points add, delete, and calculated to achieve the positioning of the eyes.
Platform: |
Size: 1664000 |
Author: 闫慧 |
Hits:
Description: 一个基于VC++的人脸检测系统,可检测并处理人脸区域以及眼睛,嘴部区域-Based on VC++ Face Detection system can detect and deal with people face region, as well as eyes, mouth region
Platform: |
Size: 244736 |
Author: celeneyang |
Hits:
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 |
Hits:
Description: 本光盘共包括三个工程，分别是用于实现数字图像基本处理算法的DimageProcess工程，
用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。
关于程序的运行，
DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法，
需要强调一点，其只对256色格式的图片进行处理。
PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp，
而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。
FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-This CD-ROM includes a total of three projects, namely, for the realization of the basic digital image processing algorithms DimageProcess project
Used to achieve image fusion PixelFusion engineering and construction for face recognition FaceDetection.
With regard to program operation,
DImageProcess works just load Bmp file format can be achieved through the menu, a variety of processing algorithms,
Need to emphasize that its only 256-color format for image processing.
PixelFusion engineering program runs, users must load two pictures, one panchromatic image selection for a given image spot.bmp,
The multi-spectral images was given a picture tm.bmp. Then the user can select a variety of fusion algorithms to fuse.
FaceDetection project run-time, first through the file "Open to load image face.bmp, which can only proceed after face detection
Operation, needs to be emphasized is the human face region detection, eye detection and location, human mouth detection and position
Platform: |
Size: 22050816 |
Author: 马子领 |
Hits:
Description: 提出了一种基于肤色的精确人脸定位算法,详细叙述了在图片的颜色调整与肤色检测,肤色区域的平滑、
分割与填充,候选眼睛的选取及配对中遇到的具体问题并提出了解决方案. 本算法能较为准确地定位彩色图像
中的正面、小角度偏侧和旋转的人脸,还能检测出一幅图中的多个人脸.-Presents a human face based on skin color precision positioning algorithm, described in detail in the image color adjustment and color detection, color, region, smooth, split with the filling, the candidate selection and matching eyes, the specific problems encountered and suggested a solution program. This algorithm can be more accurately positioned in color images of the positive, unilateral small-angle and rotation of the face, but also detected a diagram of the multi-person face.
Platform: |
Size: 222208 |
Author: hope |
Hits:
Description: c#写的人脸检测系统,用眼睛和嘴巴轮廓对人脸区域进行定位-c# write face detection system, eyes and mouth contour to locate the face region
Platform: |
Size: 388096 |
Author: 杨志 |
Hits:
Description: 基于模板匹配和肤色检测的人脸检测，包括肤色分割，类似人脸区域检测，模板调整及模板匹配的代码-Template matching and color-based face detection testing, including skin color segmentation, similar to the face region detection, templates and template matching to adjust the code
Platform: |
Size: 1180672 |
Author: 孟田田 |
Hits:
Description: 这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤：
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network"，等待程序训练好样本
5. 点击"Test on Photos"，选择一个.jpg图片，识别。
6. 等待程序检测出人脸区域
createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-This is a use of the Gabor feature extraction and artificial intelligence source code of face detection system using the steps: 1. Copy all files to the MATLAB working directory (sure you have installed the Image Processing Toolbox, and artificial intelligence toolbox) 2. Found " main.m " file 3. the command line, run it 4. Click the" Train Network " , waiting for a good sample of the training program 5. Click the" Test on Photos " , select a. jpg image recognition. 6. Wait for the program detects the face region createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m
Platform: |
Size: 140288 |
Author: 郑碧波 |
Hits:
Description: 人脸区域检测，对图像中的人脸区域进行检测并用矩形框标记。-Face region detection, face image in the region to detect and mark with a rectangular box.
Platform: |
Size: 1024 |
Author: 飞哥 |
Hits:
Description: 该软件通过光线补偿、皮肤颜色建模、膨胀和腐蚀等操作可以得到人脸区域-The software compensation through the light, skin color modeling, operations such as dilation and erosion can be face region
Platform: |
Size: 3198976 |
Author: 张燕 |
Hits:
Description: 该软件系统通过OpnCv实现对人脸区域的检测，能够检测人脸到区域，并以椭圆形标记。-This software system through the OpnCv realize to the face region detection, can detect face to the area, and with the oval mark.
Platform: |
Size: 1906688 |
Author: 张静波 |
Hits:
Description: 。基于颜色的系统可以在不同的视角中均能检测到人脸，不受人脸姿态变化的影响。根据颜色进行人脸检测的问题在于人所感知到的颜色与到达视网膜的光线的频率并不是一样的。通过对人脸图像做二值化，统计像素比例信息。得到人脸识别结果.这里通过对人脸图像打上网格，对区域块图像做二值分析，通过像素比例来做处理。进而得到人脸区域。-. Color-based system could be detected in a different perspective to the face, not the face attitude change. According to the color of the face detection problem is that the frequency of the perceived color of the light reaches the retina is not the same. Done by the human face image binarization, the statistical pixel ratio information. Face recognition results here by playing on the face image grid, do binary analysis of the regional block image by pixel ratio do processing. Then get the face region.
Platform: |
Size: 22528 |
Author: 魏宗帅 |
Hits: