JAIST Repository >
School of Information Science >
Articles >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/16092

Title: Efficient Image Registration for Underwater Optical Mapping Using Geometric Invariants
Authors: Elibol, Armagan
Chong, Nak Young
Keywords: image registration
image mosaicking
optical mapping
geometric invariants
Issue Date: 2019-06-05
Publisher: MDPI Publishing
Magazine name: Journal of Marine Science and Engineering
Volume: 7
Number: 6
Start page: 178
DOI: 10.3390/jmse7060178
Abstract: mage registration is one of the most fundamental and widely used tools in optical mapping applications. It is mostly achieved by extracting and matching salient points (features) described by vectors (feature descriptors) from images. While matching the descriptors, mismatches (outliers) do appear. Probabilistic methods are then applied to remove outliers and to find the transformation (motion) between images. These methods work in an iterative manner. In this paper, an efficient way of integrating geometric invariants into feature-based image registration is presented aiming at improving the performance of image registration in terms of both computational time and accuracy. To do so, geometrical properties that are invariant to coordinate transforms are studied. This would be beneficial to all methods that use image registration as an intermediate step. Experimental results are presented using both semi-synthetically generated data and real image pairs from underwater environments.
Rights: (c) 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Armagan Elibol and Nak Young Chong, Journal of Marine Science and Engineering, 7(6), 2019, 178. DOI:10.3390/jmse7060178
URI: http://hdl.handle.net/10119/16092
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

Files in This Item:

File Description SizeFormat
25231.pdf8610KbAdobe PDFView/Open

All items in DSpace are protected by copyright, with all rights reserved.


Contact : Library Information Section, Japan Advanced Institute of Science and Technology