c++金刚石算法

高程纹理地形，高山，水，可以用鼠标转动画面-Elevation texture terrain, mountains, water, you can rotate the screen with the mouse

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能-In this paper, and designed to achieve a free offline handwritten numeral recognition system. First, the identification number of the preconditioning treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the number of character strokes of structural features and characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching method to identify and MATLAB as a programming tool to achieve with a friendly graphical user interface of free handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance

本代码是基于opencv，由于行人具有明显的边缘轮廓，运动hog特征可以很好的描述出行人的特征，我们运用hog+svm来进行检测，效果还是很好的

一个号的核主成分分析的人脸识别算法，整个程序非常的清楚明了！-A number of kernel principal component analysis for face recognition algorithms, the whole process is very easy to understand!

视频搜索中人脸识别关键技术的研究与实现。本文对人脸检测与识别技术进行了研究，实现了一个用于视频搜 索的自动人脸识别系统。该系统对输入的视频帧进行人脸检测和定 位，经过图像预处理之后，进行重要特征点Gabor一Fisher的特征提取 和分类识别。-Video search, face recognition and implementation of key technologies. In this paper, face detection and recognition technology has been studied to realize an automatic face recognition for video search system. The system of input video frames for face detection and location, after image pre-processing carried out following important features of a Fisher-point Gabor feature extraction and classification and recognition.

图象处理的分水岭算法-the watershed image processing algorithm

有序抖动图像半调程序-jitter images semi- orderly transfer procedures

用adoost实现方法，进行人脸识别-With adoost implementation method for face recognition! ! ! ! ! ! ! ! ! ! ! ! ! ! !

熟悉数字图像的读取、显示及相关处理算法 掌握数字水印技术的基本理论与算法

基于静态图像的人脸识别系统,由武汉大学计算机学院开发,功能齐全,值得学习.-Based on the static image of Face Recognition System, Computer Science from Wuhan University development, full-featured, it is worth learning.