登录
首页 » matlab » Face-Eye-Detection

Face-Eye-Detection

于 2021-05-12 发布 文件大小:2166KB
0 429
下载积分: 1 下载次数: 692

代码说明:

  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等等(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)

文件列表:

Face-Eye-Detection
..................\Eye_tracking
..................\............\eyematch.m
..................\............\eyematch2.m
..................\............\face.m
..................\............\findeye.m
..................\............\jpg





..................\............\...\k006.JPG
..................\............\...\k007.JPG
..................\............\...\k008.JPG
..................\............\...\k009.JPG
..................\............\...\k010.JPG
..................\............\...\k011.JPG
..................\............\...\k012.JPG
..................\............\...\k013.JPG
..................\............\...\k014.JPG
..................\............\...\k015.JPG
..................\............\...\k016.JPG
..................\............\...\k017.JPG
..................\............\...\k018.JPG
..................\............\...\k019.JPG
..................\............\...\k020.JPG
..................\............\...\k021.JPG
..................\............\...\k022.JPG
..................\............\...\k023.JPG
..................\............\...\k024.JPG
..................\............\...\k025.JPG
..................\............\...\k026.JPG
..................\............\...\k027.JPG
..................\............\...\k028.JPG
..................\............\...\k029.JPG
..................\............\...\k030.JPG
..................\............\...\k031.JPG
..................\............\...\k032.JPG
..................\............\...\k033.JPG
..................\............\...\k034.JPG
..................\............\...\k035.JPG
..................\............\...\k036.JPG
..................\............\...\k037.JPG
..................\............\...\k038.JPG
..................\............\...\k039.JPG
..................\............\...\k040.JPG
..................\............\...\k041.JPG
..................\............\...\k042.JPG
..................\............\...\k043.JPG
..................\............\...\k044.JPG
..................\............\...\k045.JPG
..................\............\...\k046.JPG
..................\............\...\k047.JPG
..................\............\...\k048.JPG
..................\............\...\k049.JPG
..................\............\...\k050.JPG
..................\............\...\k051.JPG
..................\............\...\k052.JPG
..................\............\...\k053.JPG
..................\............\...\k054.JPG
..................\............\...\k055.JPG
..................\............\...\k056.JPG
..................\............\...\k057.JPG
..................\............\...\k058.JPG
..................\............\...\k059.JPG
..................\............\...\k060.JPG
..................\............\...\k061.JPG
..................\............\...\k062.JPG
..................\............\...\k063.JPG
..................\............\...\k064.JPG
..................\............\...\k065.JPG
..................\............\...\k066.JPG
..................\............\...\k067.JPG
..................\............\...\k068.JPG
..................\............\...\k069.JPG
..................\............\...\k070.JPG
..................\............\...\k071.JPG
..................\............\...\k072.JPG
..................\............\...\k073.JPG
..................\............\...\k074.JPG
..................\............\...\k075.JPG
..................\............\...\k076.JPG
..................\............\...\k077.JPG
..................\............\...\k078.JPG
..................\............\...\k079.JPG
..................\............\...\k080.JPG
..................\............\...\k081.JPG
..................\............\...\k082.JPG
..................\............\...\k083.JPG
..................\............\...\k084.JPG
..................\............\...\k085.JPG
..................\............\...\k086.JPG
..................\............\...\k087.JPG
..................\............\...\k088.JPG
..................\............\...\k089.JPG
..................\............\...\k090.JPG
..................\............\...\k091.JPG
..................\............\...\k092.JPG
..................\............\...\k093.JPG

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • KNN
    一个非常好的粗糙集的代码-希望对大家学习提供参考(Rough set a very good code- I hope to provide reference for all of us to learn)
    2009-06-09 09:39:14下载
    积分:1
  • mtdel-wsnhows
    说明:  一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)
    2019-04-21 02:20:50下载
    积分:1
  • xiaobo
    小波分辨边缘,但是要自己加工一下。可以读取RGB转化为灰度图像。(Wavelet-resolved edge, but to look at their own processing. RGB can be read into a gray image.)
    2010-02-08 19:07:51下载
    积分:1
  • opencvchengxu
    特征提取,主要是灰度共生矩阵和不变矩特征提取的程序,openCV下可直接运行(Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV)
    2014-11-23 21:03:16下载
    积分:1
  • 行星齿轮动力学分析微分方程的matlab
    说明:  行星齿轮动力学分析微分方程的matlab中ode45求解(The solution of the differential equation of planetary gear dynamic analysis by ode45 in MATLAB)
    2021-04-21 19:48:49下载
    积分:1
  • jQueryUploadifyDemo
    他很反感;归属地分块地方好法国号法国号韩国胡富国(He was disgusted attribution to block a good place to Hu Fuguo French horn French horn Korea)
    2013-11-02 11:16:46下载
    积分:1
  • 利用聚类技术实现纹理分割
    说明:  a)针对合成纹理图像(共有4 个合成纹理图像,见文件夹: Texture_mosaic_data)中每一个像素提取纹理特征向量; b)利用聚类技术(推荐用k‐均值聚类,可以从网上查找原码)对特征向 量空间中的点进行聚类,类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示(如下图,其中b、d、f、h 为相应的基准分割图像)。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)
    2020-12-06 17:59:22下载
    积分:1
  • nca
    nca,近邻成分分析,距离度量学习里常用的。(nca)
    2009-06-09 09:53:38下载
    积分:1
  • 评估函数
    对两张图片进行均值和mse分析,尤其是两张视差图的分析(Mean and MSE analysis of two pictures)
    2018-05-10 09:29:18下载
    积分:1
  • ae_seed_fill
    计算机图形学,扫描线种子填充算法,填充算法,填充算法(dd )
    2020-06-30 20:40:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载