Description: 这是我根据\"opencv-人脸识别\"和\"背景建模，运动物体检测\"两个程序结合的,内附了我自己合成的
英文版opencv.chm的电子书，希望对大家有帮助，运行程序时请修改cvLoad函数的路径到自己的
OpenCV\\data，该程序主要是通过摄像头读取，边检测边分析人脸的功能-under "opencv-face recognition" and "background modeling, Moving Object Detection "combining the two procedures, enclosing my own synthesis of English opencv.chm of e-books, we hope to help Please operational procedures cvLoad function changes the path of their OpenCV \\ data, The procedure is mainly read by the camera, edge detection edge analysis of the functional Face Platform: |
Size: 1142207 |
Author:ren |
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Description: 这是我根据"opencv-人脸识别"和"背景建模，运动物体检测"两个程序结合的,内附了我自己合成的
英文版opencv.chm的电子书，希望对大家有帮助，运行程序时请修改cvLoad函数的路径到自己的
OpenCV\data，该程序主要是通过摄像头读取，边检测边分析人脸的功能-under "opencv-face recognition" and "background modeling, Moving Object Detection "combining the two procedures, enclosing my own synthesis of English opencv.chm of e-books, we hope to help Please operational procedures cvLoad function changes the path of their OpenCV \ data, The procedure is mainly read by the camera, edge detection edge analysis of the functional Face Platform: |
Size: 2146304 |
Author:ren |
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Description: 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtraction method for edge detection, image color distribution histogram of the correlation processing, face recognition algorithm. Platform: |
Size: 6144 |
Author:张桦 |
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Description: 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示：
第1章 OpenCV的探险之旅;
第2章 OpenCV基础知识介绍;
第3章 图形用户界面和基本滤波;
第4章 深入研究直方图和滤波器;
第5章 自动光学检测、目标分割和检测;
第6章 学习目标分类;
第7章 识别人脸部分并覆盖面具;
第8章 视频监控、背景建模和形态学操作;
第9章 学习对象跟踪;
第10章 文本识别中的分割算法;
第11章 使用Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows:
Chapter 1 An expedition to OpenCV;
Chapter 2 OpenCV basic knowledge introduction;
Chapter 3 Graphical user interface and basic filtering;
Chapter 4 In-depth study of histogram and filter;
Chapter 5 Automatic optical detection, object segmentation and detection;
Chapter 6 Learning object classification;
Chapter 7 Identify the face part and cover the mask.
Chapter 8 Video surveillance, background modeling and morphological operation.
Chapter 9 Learning object tracking;
Chapter 10 The segmentation algorithm in text recognition;
Chapter 11 Using Tesseract to identify the text;) Platform: |
Size: 66423808 |
Author:flypig1994 |
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Search - Background Modeling face