Groupwise registration of aerial images
Contribuinte(s) |
Yang, Qiang Wooldridge, Michael |
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Data(s) |
01/01/2015
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
International Joint Conferences on Artificial Intelligence |
Relação |
http://ijcai.org/Abstract/15/302 |
Direitos |
2015, International Joint Conferences on Artificial Intelligence |
Tipo |
Conference Paper |