Groupwise registration of aerial images
This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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AAAI
2015
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| Subjects: | |
| Online Access: | https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/10802 http://hdl.handle.net/20.500.11937/22175 |
| _version_ | 1848750796894633984 |
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| author | Arandjelovic, O. Pham, DucSon Venkatesh, S. |
| author2 | Qiang Yang, Michael Wooldridge |
| author_facet | Qiang Yang, Michael Wooldridge Arandjelovic, O. Pham, DucSon Venkatesh, S. |
| author_sort | Arandjelovic, O. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that a land area can undergo, such as that caused by the change in illumination conditions, seasonal variations, or the occlusion by non-persistent objects (people, cars). Our work introduces several novelties: (i) unlike all previous work on aerial image registration, we approach the problem using a set-based paradigm; (ii) we show how local, pair-wise constraints can be used to enforce a globally good registration using a constraints graph structure; (iii) we show how a simple holistic representation derived from raw aerial images can be used as a basic building block of the constraints graph in a manner which achieves both high registration accuracy and speed. We demonstrate: (i) that the proposed method outperforms the state-of-the-art for pair-wise registration already, achieving greater accuracy and reliability, while at the same time reducing the computational cost of the task; and (ii) that the increase in the number of available images in a set consistently reduces the average registration error. |
| first_indexed | 2025-11-14T07:42:32Z |
| format | Conference Paper |
| id | curtin-20.500.11937-22175 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:42:32Z |
| publishDate | 2015 |
| publisher | AAAI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-221752019-04-30T08:20:06Z Groupwise registration of aerial images Arandjelovic, O. Pham, DucSon Venkatesh, S. Qiang Yang, Michael Wooldridge registration error aerial image registration This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that a land area can undergo, such as that caused by the change in illumination conditions, seasonal variations, or the occlusion by non-persistent objects (people, cars). Our work introduces several novelties: (i) unlike all previous work on aerial image registration, we approach the problem using a set-based paradigm; (ii) we show how local, pair-wise constraints can be used to enforce a globally good registration using a constraints graph structure; (iii) we show how a simple holistic representation derived from raw aerial images can be used as a basic building block of the constraints graph in a manner which achieves both high registration accuracy and speed. We demonstrate: (i) that the proposed method outperforms the state-of-the-art for pair-wise registration already, achieving greater accuracy and reliability, while at the same time reducing the computational cost of the task; and (ii) that the increase in the number of available images in a set consistently reduces the average registration error. 2015 Conference Paper http://hdl.handle.net/20.500.11937/22175 https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/10802 AAAI unknown |
| spellingShingle | registration error aerial image registration Arandjelovic, O. Pham, DucSon Venkatesh, S. Groupwise registration of aerial images |
| title | Groupwise registration of aerial images |
| title_full | Groupwise registration of aerial images |
| title_fullStr | Groupwise registration of aerial images |
| title_full_unstemmed | Groupwise registration of aerial images |
| title_short | Groupwise registration of aerial images |
| title_sort | groupwise registration of aerial images |
| topic | registration error aerial image registration |
| url | https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/10802 http://hdl.handle.net/20.500.11937/22175 |