Features from accelerated segment test

<p>Features from accelerated segment test (FAST) is a <a href="/facts/Corner_detection/19pSbRDe">corner detection</a> method, which could be used to extract <a href="/facts/Feature_(computer_vision)/GdfWRp5U">feature</a> points and later used to track and map objects in many <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> tasks. The FAST corner detector was originally developed by Edward Rosten and Tom Drummond, and was published in 2006. The most promising advantage of the FAST corner detector is its computational efficiency. Referring to its name, it is indeed faster than many other well-known feature extraction methods, such as <a href="/facts/Difference_of_Gaussians/VxgyK5xp">difference of Gaussians</a> (DoG) used by the <a href="/facts/Scale-invariant_feature_transform/oX14fcpr">SIFT</a>, <a href="/facts/Corner_detection/19pSbRDe">SUSAN</a> and <a href="/facts/Harris_affine_region_detector/jdr1EUQD">Harris</a> detectors. Moreover, when machine learning techniques are applied, superior performance in terms of computation time and resources can be realised. The FAST corner detector is very suitable for real-time video processing application because of this high-speed performance.
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Features from accelerated segment test open-in-new

Features from accelerated segment test