Implementation and evaluation of FAST corner detection on the massively parallel embedded processor MX-G

Moko, Yushi; Komuro, Takashi; Nakajima, M.; Watanabe, Yoshihiro; Ishikawa, Masatoshi; Arimoto, Kazutami

doi:10.1109/cvprw.2011.5981839

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Cited by 4 publications

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“…Table 1 shows a comparison with previously reported hardware implementations for feature detectors. Compared with [8,10], our proposed FAST feature detection can process an image with approximately the same resolution and with much higher performance. When compared with [9], our experimented image resolution is three times smaller, but the processing speed of the FAST algorithm is more than 10 times faster.…”

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confidence: 99%

Pixel‐parallel feature detection on vision chip

et al. 2014

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Pixel-parallel FAST and SIFT feature detection algorithms are proposed, which are suitable for the vision chip architecture. The proposed algorithms can execute the FAST and SIFT feature detections on the vision chip in a pixel-parallel manner. The Feature detection utilising the proposed algorithms can be realised by basic logic and arithmetic operations. Experiments and detailed analysis show that the proposed algorithms can perform feature detection on the vision chip at a higher speed compared with that on a general processor or an application-specific circuit.

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confidence: 99%