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用OPENCV获取摄像头的图象并直接在QT的界面上显示-OPENCV camera used to obtain the images and directly in the QT interface display
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An interface to show image/video/capture using opencv and QT
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sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。
下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift
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基于arm和AdaBoost的人脸识别，有Qt做的界面，可以识别出来人脸，程序本身没错误，如无法运行，请查看是否有opencv库函数和安装有qt。-Qt interface to do arm and AdaBoost-based face recognition, face out people can identify no error in the program itself, If you are not able to run, to see if opencv library fu
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采用QT和C++编写，用QT编写的界面，结合opencv编写的图像处理中直方图的相关处理，可作为opencv的入门小练习。-Using QT and C++ writing, written using QT interface, combined with the preparation of image processing opencv histogram correlation processing, can be used as an entry opencv little exerc
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利用Qt实现了自动打开图像的UI界面，利用了OPENCV库-Achieved using Qt UI interface automatically open the image, use the OPENCV library
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用 Qt 和 opencv 制作的图像处理界面程序，包含了大部分图像处理基础程序-With Qt and opencv crafted image processing interface programs, including the most basic image processing program
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QT下利用OpenCv从摄像头读出图片并显示源码，主要是显示摄像头图像采集的界面-QT under the use of OpenCv read images a camera and display source code, mainly show the camera image acquisition interface
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用qt制作界面，用opencv库打开图片(Make the interface with QT, use opencv library to open pictures)
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利用了微软的Kinect v2 开发了基于深度图像的人体目标的检测跟踪与定位，结合了VS2013，Qt以及opencv视觉库，设计了该系统的GUI界面(Using Microsoft's Kinect V2, we have developed the detection, tracking and positioning of human targets based on depth images. Combining the VS2013, Qt and opencv visual libr
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在linux平台下通过QT调用opencv的接口，来打开树莓派相机并实时显示(In the Linux platform, through the QT call opencv interface, open raspberry pie camera and real-time display)
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QT实现GUI界面，opencv实现摄像头操作。(QT GUI interface; use opencv camera operation.)
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运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)
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