Features from accelerated segment test: Difference between revisions

Revision as of 00:23, 16 February 2019

Revision as of 21:09, 3 June 2019

Line 7:

|url=https://pdfs.semanticscholar.org/e3d7/f693bf2d3510a0557cda52c7547820fbef97.pdf

}}

</ref> The most promising advantage of the FAST [[corner detector]] is its computational efficiency. Referring to its name, it is fast and indeed it is faster than many other well-known feature extraction methods, such as [[difference of Gaussians]] (DoG) used by the [[Scale-invariant feature transform|SIFT]], [[Corner detection#The SUSAN corner detector|SUSAN]] and [[Harris affine region detector|Harris]] 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.

== Segment test detector ==