{"type":"ScholarlyArticle","title":"Groupwise Registration of Aerial Images","authors":[{"name":"Ognjen Arandjelovic","slug":"ognjen-arandjelovic","given":"Ognjen","family":"Arandjelovic","affiliation":""},{"name":"Duc-Son Pham","slug":"duc-son-pham","given":"Duc-Son","family":"Pham","affiliation":""},{"name":"Svetha Venkatesh","slug":"svetha-venkatesh","given":"Svetha","family":"Venkatesh","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2015/302","pdf":"https://ijcai.org/proceedings/2015/0302.pdf","markdown":"https://ijcai.org/proceedings/2015/302.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/302","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Vision and Perception","track":"Main Track","number":302,"pages":{"first":2133,"last":2138},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}