Description: 用OPENCV做的人脸识别程序，实现跟踪检测，用的是自带的分类器-OPENCV do with face recognition program, to achieve tracking and detection, using a built-in classifier Platform: |
Size: 86016 |
Author:jianghua |
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Description: 一个基于openNI读取kinect深度和彩色图像的例子，采用openCV进行显示，进行手势识别然后跟踪手。-An example reading the kinect depth and color images based on openNI , using openCV to display, do gesture recognition and hand tracking. Platform: |
Size: 389120 |
Author:ldn |
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Description: 手势识别，使用OpenCV的haar 分类器。训练因为对各个环境不同，请大家自己下载或者自己训练样本。-Hand Recognition and Tracking using OpenCV. It uses Haar Classifier. Because Haar features are different, I did not include the .xml file, please download it online or train it yourself. Platform: |
Size: 22484992 |
Author:赛义 |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
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Author:王邦平 |
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Description: 这是一个Android应用程序，他使用了OpenCV来实现特征跟踪和人脸识别-This is an example of Android application using OpenCV for feature tracking and face recognition. Platform: |
Size: 29696 |
Author:宫爆鸡丁 |
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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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