Distributed aerial scanning in mobile ad-hoc networks
Proceedings of the 1st international conference on Autonomic computing and communication systems
Robust Registration of Aerial Image Sequences
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Registering aerial video images using the projective constraint
IEEE Transactions on Image Processing
Vehicle ego-localization by matching in-vehicle camera images to an aerial image
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
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Registering consecutive images from an airborne sensor into a mosaic is an essential tool for image analysts. Strictly local methods tend to accumulate errors, resulting in distortion. We propose here to use a reference image (such as a high resolution map image) to overcome this limitation. In our approach, we register a frame in an image sequence to the map using both frame-to-frame registration and frameto- map registration iteratively. In frame-to-frame registration, a frame is registered to its previous frame. With its previous frame been registered to the map in the previous iteration, we can derive an estimated transformation from the frame to the map. In frame-to-map registration, we warp the frame to the map by this transformation to compensate for scale and rotation difference and then perform an area based matching usingMutual Information to find correspondences between this warped frame and the map. From these correspondences, we derive a transformation that further registers the warped frame to the map. With this two-step registration, the errors between each consecutive frames are not accumulated. We present results on real image sequences from a hot air balloon.