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dc.contributor.authorArandjelovic, O.
dc.contributor.authorPham, DucSon
dc.contributor.authorVenkatesh, S.
dc.contributor.editorQiang Yang, Michael Wooldridge
dc.date.accessioned2017-01-30T12:29:47Z
dc.date.available2017-01-30T12:29:47Z
dc.date.created2016-09-22T12:29:04Z
dc.date.issued2015
dc.identifier.citationArandjelovic, O. and Pham, D. and Venkatesh, S. 2015. Groupwise registration of aerial images, in Qiang Yang, Michael Wooldridge (ed), 24th International Conference on Artificial Intelligence, Jul 25 2015, pp. 2133-2139. Buenos Aires, Argentina: AAAI.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22175
dc.description.abstract

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.

dc.publisherAAAI
dc.relation.urihttps://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/10802
dc.subjectregistration error
dc.subjectaerial image registration
dc.titleGroupwise registration of aerial images
dc.typeConference Paper
dcterms.source.startPage2133
dcterms.source.endPage2139
dcterms.source.titleProceedings of the 24th International Conference on Artificial Intelligence
dcterms.source.seriesProceedings of the 24th International Conference on Artificial Intelligence
dcterms.source.isbn9781577357384
dcterms.source.conference24th International Conference on Artificial Intelligence
dcterms.source.conference-start-dateJul 25 2015
dcterms.source.conferencelocationBuenos Aires, Argentina
dcterms.source.placeUSA
curtin.departmentDepartment of Computing
curtin.accessStatusOpen access via publisher


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