资源列表
PCA-LDA-ICA
- PCA LDA ICA人脸识别matlab代码 用于人脸识别领域的应用-PCA LDA ICA face recognition matlab code used for face rocognition area
VC
- 汽车压双黄线编程代码，基于VC++，代码附有相信解释-Automotive pressure double yellow lines of programming code, based VC++, I believe the code with explanation
GUASSIANS
- 运动目标检车背景建模，基于混合高斯模型，附有应用的图片-Moving target inspection car background modeling, Gaussian mixture model, with a picture of the application
rotationMatrix2eulerAngles
- 从旋转矩阵中求解欧拉角，具体功能应用参看readme.txt。-computer euler from rotation matrix
pupildetectOK
- 在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息-In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classif
image-mosaic
- 图像拼接，利用SIFT算法提取点特征，并进行点匹配，解算单应性矩阵，根据结算出的单应性矩阵对图像进行仿射变换，最后进行拼接，程序中的备注很详细，各位感兴趣的同志可以下载看看。-Image mosaic using SIFT feature point extraction algorithm, and point matching, homography matrix solver, based on the settlement of the homography image affine t
CV
- Chan和Vese提出的水平集模型，采用了水平集的思想，能够准确的分割出目标-Chan and Vese level set model is proposed, using a set of ideological level, the target can be accurately divided
LiChunMing
- 李春明等人提出的不需要初始化水平集的模型，解决了传统的水平集模型重新初始化的问题，内附有代码和论文-Models do not need to initialize the level set Li Chunming, who proposed solution to the traditional level set model to re-initialize the problem, containing the code and papers
retinex-matlab
- retinex算法实现，增强光照阴影下的图像-Retinex Algorithm, enhanced image under shadows
2010302590039
- 利用opencv将两幅不同时域图像做变化检测-Two different time-domain images do change detection
ccs3.3
- ccs3.3中建立-编译-调试工程的基本步骤及常见错误讲解，本文章是基于DM6437的示例。-ccs3.3 created- compiled- the basic steps commissioning works and explain common errors, based on the example of the DM6437.
image-fusion
- 本资源包括简单的图像融合方法，还有基于Laplace金字塔分解的图像融合方法，最后还有基于小波变换的图像融合方法，包括各种方法的客观评价，非常全面-The resources include simple image fusion method, as well as image fusion method based on Laplace pyramid decomposition and, finally, image fusion method based on wavelet trans