We present an efficient approach for finding homographies between sequences of aerial images. We propose a two-step approach: a) initially solving for image-plane rotation and scale parameters without using correspondence (under affine assumption), and b) using these parameters to constrain the full homography search, and c) extending the results to full perspective projection.

    No flight meta-data, camera priors, or any other user defined information is used for the task. Based on the perspective parameters estimated, the aerial images are stitched with the best matching image based on a probabilistic model, to compose a high resolution aerial image mosaic. While retaining the improved asymptotic worst-case complexity of [6], we demonstrate significant performance improvements in practice.


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    Title :

    Efficient Registration of Aerial Image Sequences Without Camera Priors


    Contributors:

    Conference:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007


    Published in:

    Computer Vision – ACCV 2007 ; Chapter : 39 ; 394-403


    Publication date :

    2007-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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