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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16092
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| タイトル: | Efficient Image Registration for Underwater Optical Mapping Using Geometric Invariants |
| 著者: | Elibol, Armagan
Chong, Nak Young |
| キーワード: | image registration
image mosaicking
optical mapping
geometric invariants |
| 発行日: | 2019-06-05 |
| 出版者: | MDPI Publishing |
| 誌名: | Journal of Marine Science and Engineering |
| 巻: | 7 |
| 号: | 6 |
| 開始ページ: | 178 |
| DOI: | 10.3390/jmse7060178 |
| 抄録: | 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 |
| 資料タイプ: | publisher |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 25231.pdf | | 8610Kb | Adobe PDF | 見る/開く |
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