The Research of Corner Extractors in Local Feature Points Matching Algorithm

DOI

10.2991/aiie-15.2015.135How to use a DOI?

Keywords

local feature points; local feature points matching algorithm; feature extraction; corner feature

Abstract

Local feature extraction is the key point of local feature points matching algorithms. Most of the feature points extractors can be categorized into corner extractors, blob extractors or region extractors. Corner extractors become a research hotspot in recent years due to its simple structure and accuracy. At first, the flow of local feature points matching algorithm is introduced, and the properties and the categories of the local feature points are also introduced. Secondly, this paper sets focus on several important corner extractors and new progress of the local feature points matching algorithms based on the Features from Accelerated Segment Test(FAST) corner extractor. Finally, some research challenges and directions are discussed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J.B. Zhi
AU  - F.C. You
PY  - 2015/07
DA  - 2015/07
TI  - The Research of Corner Extractors in Local Feature Points Matching Algorithm
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 501
EP  - 504
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.135
DO  - 10.2991/aiie-15.2015.135
ID  - Zhi2015/07
ER  -