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Augmented reality program of OpenCV and OpenGL in
4.0
Application background Use the camera to read the video, opencv analysis of camera data, monitoring the video feature location, OpenGL painted three-dimensional objects moving to the feature location reality,Video data as a whole background Key Technology Texture mapping technology, target detection technology, object rotation, object movement, OpenGL painting three-dimensional objects, code word analysis, video read, camera settings,Opencv image processing technology
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Sift image matching code
4.0
Contents:1. Intro2. Requirements3. Running4. License1. IntroThis is a collection of code I've put together to detect SIFT features in images. It includes a SIFT function library as well as some executables to detect, match, and display keypoints. For more information on SIFT, refer to the paper by Lowe:Lowe , D. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 2 (2004), pp.91--110.Or see Lowe's website:
zhangxiaohappy 0 0
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