资源列表
Face-Detection
- 此为用MATLAB语言写的基于KPCA、PCA算法的人脸检测程序，对于对比学习KPCA和PCA有很大帮助-This is the face detection program which is written by matlab , and it will help you a lot to learn the difference between KPCA and PCA
HOMEWORK2
- Using elementary operations of binary morphology 用铜板大小进行影像辨识的实例 采用Borland C++ Builder 开发-Using elementary operations of binary morphology with the copperplate size image recognition instance using Borland C++ Builder development
LSC_Demo
- 局部约束的软编码程序,可用于图像分类,效果非常好.-local-soft-assignment coding,it can be used to classify images
sample
- 图像配准算法其中包含有多种配准算法，各种搜索最优算法-Image registration algorithm
matlab
- 真是基于matlab的QPSK，格雷码，瑞利衰减信道，加性高斯白噪声仿真-Really based on matlab QPSK, Gray code, Rayleigh fading channel additive white Gaussian noise simulation
matlab_Face_recognition1
- 基于matlab的人脸识别算法，有应用matlab进行编程的源代码,以及运行需要的图象文件-Applications based on face recognition algorithm matlab matlab programming source code, and run need to image files
matlab_Face_recognition3
- 基于matlab的人脸识别算法pca，有应用matlab进行编程的源代码,以及运行需要的图象文件-Based on face recognition algorithm pca matlab application matlab programming source code, as well as needed for the operation of the image file
Voting
- 应用于图像分类编码中硬投票与软投票两种算法的实现与比较-Implementation and comparison of hard to vote with soft voting two algorithms applied to image classification and coding
xibaosedushibie
- 对细胞图像进行色度识别，并计算红色所占图像比例-Cell image chromaticity identify and calculate the proportion of red share images
123
- VM还原教程：数据指针的逆向跟踪(无视VM)-The reverse track (ignore VM) VM restore tutorial: data pointer
face
- 。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 at
win32_KinectFaceTracking
- 该程序使用Kinect的人脸跟踪功能，跟踪视野内的人脸，当跟踪到人脸的时候在人脸上画网状格，跟 踪人脸丢失的时候，将原始的彩色图像显示在该窗口内，即当人脸丢失后对窗口内的图像进行更新。-The program using the Kinect face tracking, face tracking vision, when tracking a person' s face when the human face painted mesh grid, tracking face l