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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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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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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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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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