Multiple view geometry in computer vision
Multiple view geometry in computer vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
How to Put Probabilities on Homographies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
Minimal representations for uncertainty and estimation in projective spaces
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
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The rapid generation of aerial mosaics is an important task for change detection, e.g. in the context of disaster management or surveillance. Unmanned aerial vehicles equipped with a single camera offer the possibility to solve this task with moderate efforts. Unfortunately, the accumulation of tracking errors leads to a drift in the alignment of images which has to be compensated by loop closing for instance. We propose a novel approach for constructing large, consistent and undistorted mosaics by aligning video images of planar scenes. The approach allows the simultaneous closing of multiple loops possibly resulting from the camera path in a batch process. The choice of the adjustment model leads to statistical rigorous solutions while the used minimal representations for the involved homographies and the exploitation of the natural image order enable very efficient computations. The approach will be empirically evaluated with the help of synthetic data and its feasibility will be demonstrated with real data sets.