Local Property of Depth Information in 3D Images and Its Application in Feature Matching
In image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints. In this paper, we prove that when the camera moves, the ratio of the depth difference of a keypoint and its neighbor pixel...
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MDPI AG
2023-02-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/11/5/1154 |
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author | Erbing Yang Fei Chen Meiqing Wang Hang Cheng Rong Liu |
author_facet | Erbing Yang Fei Chen Meiqing Wang Hang Cheng Rong Liu |
author_sort | Erbing Yang |
collection | DOAJ |
description | In image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints. In this paper, we prove that when the camera moves, the ratio of the depth difference of a keypoint and its neighbor pixel before and after the camera movement approximates a constant. That means the depth difference of a keypoint and its neighbor pixel after normalization is invariant to the camera movement. Based on this property, all the depth differences of a keypoint and its neighbor pixels constitute a local depth-based feature, which can be used as a supplement of the traditional feature. We combine the local depth-based feature with the SIFT feature descriptor to form a new feature descriptor, and the experimental results show the feasibility and effectiveness of the new feature descriptor. |
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format | Article |
id | doaj.art-82c929ed388541b1ad8d183588240f71 |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-11T07:18:39Z |
publishDate | 2023-02-01 |
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series | Mathematics |
spelling | doaj.art-82c929ed388541b1ad8d183588240f712023-11-17T08:08:58ZengMDPI AGMathematics2227-73902023-02-01115115410.3390/math11051154Local Property of Depth Information in 3D Images and Its Application in Feature MatchingErbing Yang0Fei Chen1Meiqing Wang2Hang Cheng3Rong Liu4College of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, ChinaCollege of Computer and Data Science, Fuzhou University, Fuzhou 350108, ChinaCollege of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, ChinaCollege of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, ChinaCollege of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, ChinaIn image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints. In this paper, we prove that when the camera moves, the ratio of the depth difference of a keypoint and its neighbor pixel before and after the camera movement approximates a constant. That means the depth difference of a keypoint and its neighbor pixel after normalization is invariant to the camera movement. Based on this property, all the depth differences of a keypoint and its neighbor pixels constitute a local depth-based feature, which can be used as a supplement of the traditional feature. We combine the local depth-based feature with the SIFT feature descriptor to form a new feature descriptor, and the experimental results show the feasibility and effectiveness of the new feature descriptor.https://www.mdpi.com/2227-7390/11/5/1154image registrationkeypoint matchdepth mapSIFT |
spellingShingle | Erbing Yang Fei Chen Meiqing Wang Hang Cheng Rong Liu Local Property of Depth Information in 3D Images and Its Application in Feature Matching Mathematics image registration keypoint match depth map SIFT |
title | Local Property of Depth Information in 3D Images and Its Application in Feature Matching |
title_full | Local Property of Depth Information in 3D Images and Its Application in Feature Matching |
title_fullStr | Local Property of Depth Information in 3D Images and Its Application in Feature Matching |
title_full_unstemmed | Local Property of Depth Information in 3D Images and Its Application in Feature Matching |
title_short | Local Property of Depth Information in 3D Images and Its Application in Feature Matching |
title_sort | local property of depth information in 3d images and its application in feature matching |
topic | image registration keypoint match depth map SIFT |
url | https://www.mdpi.com/2227-7390/11/5/1154 |
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