Arandjelovic, Ognjen, Pham, Duc-Son and Venkatesh, Svetha 2015, Groupwise registration of aerial images, in IJCAI 2015: Proceedings of the 24th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Palo Alto, Calif., pp. 2133-2139.
International Joint Conferences on Artificial Intelligence
Place of publication
Palo Alto, Calif.
Summary
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, pairwise 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.
ISBN
9781577357384
ISSN
1045-0823
Language
eng
Field of Research
080109 Pattern Recognition and Data Mining
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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