Dense spatio‐temporal stereo matching for intelligent driving systems
Abstract This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one to achieve the spatial matching of th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12056 |
| _version_ | 1828096355679076352 |
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| author | Zakaria Kerkaou Mohamed El Ansari Lhoussaine Masmoudi Redouan Lahmyed |
| author_facet | Zakaria Kerkaou Mohamed El Ansari Lhoussaine Masmoudi Redouan Lahmyed |
| author_sort | Zakaria Kerkaou |
| collection | DOAJ |
| description | Abstract This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one to achieve the spatial matching of the former stereo by involving the matching results obtained at the last frame. The proposed method is achieved in three main steps. First, an edge based disparity map is derived from the disparity map of the preceding frame, we call it the assisting disparity map (ADM). Second, for each scan‐line, a set of local ranges and global ranges are deduced from the ADM to keep only potential matching candidates. Third, the matching is done on the basis of dynamic programming algorithm by involving in the resulting local and global ranges we get from the last step. The proposed approach has been tested on both real and synthetic stereo sequences and the results demonstrate its effectiveness. |
| first_indexed | 2024-04-11T07:29:04Z |
| format | Article |
| id | doaj.art-c9592f0c76cc48eb8bb6c1b82a296f2a |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-11T07:29:04Z |
| publishDate | 2021-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-c9592f0c76cc48eb8bb6c1b82a296f2a2022-12-22T04:36:59ZengWileyIET Image Processing1751-96591751-96672021-02-0115371572310.1049/ipr2.12056Dense spatio‐temporal stereo matching for intelligent driving systemsZakaria Kerkaou0Mohamed El Ansari1Lhoussaine Masmoudi2Redouan Lahmyed3LabSIV, Department of Computer Science, Faculty of Science Ibn Zohr University MoroccoLabSIV, Department of Computer Science, Faculty of Science Ibn Zohr University MoroccoDepartment of Physics, Faculty of sciences Mohammed V University of Rabat MoroccoLabSIV, Department of Computer Science, Faculty of Science Ibn Zohr University MoroccoAbstract This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one to achieve the spatial matching of the former stereo by involving the matching results obtained at the last frame. The proposed method is achieved in three main steps. First, an edge based disparity map is derived from the disparity map of the preceding frame, we call it the assisting disparity map (ADM). Second, for each scan‐line, a set of local ranges and global ranges are deduced from the ADM to keep only potential matching candidates. Third, the matching is done on the basis of dynamic programming algorithm by involving in the resulting local and global ranges we get from the last step. The proposed approach has been tested on both real and synthetic stereo sequences and the results demonstrate its effectiveness.https://doi.org/10.1049/ipr2.12056Optical, image and video signal processingImage recognitionOptimisation techniquesComputer vision and image processing techniques |
| spellingShingle | Zakaria Kerkaou Mohamed El Ansari Lhoussaine Masmoudi Redouan Lahmyed Dense spatio‐temporal stereo matching for intelligent driving systems IET Image Processing Optical, image and video signal processing Image recognition Optimisation techniques Computer vision and image processing techniques |
| title | Dense spatio‐temporal stereo matching for intelligent driving systems |
| title_full | Dense spatio‐temporal stereo matching for intelligent driving systems |
| title_fullStr | Dense spatio‐temporal stereo matching for intelligent driving systems |
| title_full_unstemmed | Dense spatio‐temporal stereo matching for intelligent driving systems |
| title_short | Dense spatio‐temporal stereo matching for intelligent driving systems |
| title_sort | dense spatio temporal stereo matching for intelligent driving systems |
| topic | Optical, image and video signal processing Image recognition Optimisation techniques Computer vision and image processing techniques |
| url | https://doi.org/10.1049/ipr2.12056 |
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