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The new feature detectors are based on the minimization of this local image region, and the noise reduction method uses this region as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast. Details of the new feature detectors and of the new noise reduction method are described, along with test results.

The SUSAN corner detector. SUSAN is an acronym standing for smallest univalue segment assimilating nucleus. This method is the subject of a 1994 UK patent which is no longer in force. For feature detection, SUSAN places a circular mask over the pixel to be tested (the nucleus).

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May 07, 2006 · Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are good methods which yield high quality features, however they are too computationally intensive for use in real-time applications of any complexity. Run your entire business with Zoho's suite of online productivity tools and SaaS applications. Over 60 million users trust us worldwide.Try our Forever Free Plan!

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Jul 18, 1986 · Directed by James Cameron. With Sigourney Weaver, Michael Biehn, Carrie Henn, Paul Reiser. Fifty-seven years after surviving an apocalyptic attack aboard her space vessel by merciless space creatures, Officer Ripley awakens from hyper-sleep and tries to warn anyone who will listen about the predators. FAST Algorithm for Corner Detection. All the above feature detection methods are good in some way. But they are not fast enough to work in real-time applications like SLAM. There comes the FAST algorithm, which is really "FAST". BRIEF (Binary Robust Independent Elementary Features) SIFT uses a feature descriptor with 128 floating point numbers.

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