Open AccessPixel‐parallel feature detection on vision chip
Author(s) -
Yang Jie,
Shi Cong,
Liu Liyuan,
Liu Jian,
Wu Nanjian
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.1787
Subject(s) - scale invariant feature transform , feature (linguistics) , computer science , pixel , chip , artificial intelligence , feature detection (computer vision) , computer vision , feature extraction , parallel processing , machine vision , image processing , pattern recognition (psychology) , computer hardware , image (mathematics) , telecommunications , philosophy , linguistics
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.