Map-Enhanced UAV Image Sequence Registration and Synchronization of Multiple Image Sequences

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...

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Bibliographic Details
Published in:2007 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 7
Main Authors: Yuping Lin, Medioni, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2007
Subjects:
Computer errors
Computer science
Image analysis
Image resolution
Image sensors
Image sequence analysis
Image sequences
Mutual information
Streaming media
Unmanned aerial vehicles
ISBN:9781424411795, 1424411793
ISSN:1063-6919, 1063-6919
Online Access:Get full text
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Summary: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 frame-to-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 using mutual information to find correspondences between this warped frame and the map. These correspondences together with the correspondences in previous frames could be regarded as correspondences between the partial local mosaic and the map. By registering the partial local mosaic to the map, we derive a transformation from the frame to the map. With this two-step registration, the errors between each consecutive frames are not accumulated. We then extend our approach to synchronize multiple image sequences by tracking moving objects in each image sequence, and aligning the frames based on the object's coordinates in the reference image.
ISBN:9781424411795
1424411793
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2007.383428