Open AccessA Comparative Study of Feature Detection Methods for AUV Localization
Author(s) -
Andrew Y Kim
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.15368/theses.2018.49
Subject(s) - scale invariant feature transform , artificial intelligence , simultaneous localization and mapping , computer vision , landmark , underwater , computer science , orb (optics) , feature extraction , pixel , feature (linguistics) , matching (statistics) , hough transform , global positioning system , feature matching , pattern recognition (psychology) , mobile robot , robot , geography , image (mathematics) , mathematics , linguistics , philosophy , telecommunications , statistics , archaeology