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OpenCV implementation of SIFT algorithm
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Application background Use the configuration of the VS2008 opencv2.4.9 to achieve a complete SIFT DEMO Key Technology Image feature extraction technology in digital image processing, matching of two images
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Java learning tank battle programming to develop a
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Application background For JAVA junior self-learning, with Han Shunping's JAVA learning video tutorials, and added some of their own improvements Key Technology A good practice for the object oriented thinking in Eclipse, the use of JAVA platform development, and with the relevant music and explosive pictures, is suitable to continue to produce
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HOG image detection algorithm
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Digital image histogram of oriented gradients of HOG feature extraction, is used in computer vision and image processing for object detection feature descriptor. Its calculations and statistical local area gradient orientation Histogram feature. Hog combined with SVM classifiers have been widely used in image recognition, in particular, has achieved great success in the pedestrian detection.
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