Improving image resolution using subpixel motion
Pattern Recognition Letters
Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Local image reconstruction and subpixel restoration algorithms
CVGIP: Graphical Models and Image Processing
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Panoramic mosaics by manifold projection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Efficient Image Warping and Super-Resolution
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Site model acquisition and extension from aerial images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Real-Time Optimal Adaptation for Planetary Geometry and Texture: 4-8 Tile Hierarchies
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Efficiently Registering Video into Panoramic Mosaics
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Visual Signatures in Video Visualization
IEEE Transactions on Visualization and Computer Graphics
Optical flow based super-resolution: A probabilistic approach
Computer Vision and Image Understanding
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Video from aerial surveillance can provide a rich source of data for many applications and can be enhanced for display and analysis through such methods as mosaic construction, super-resolution, and mover detection. All of these methods require accurate frame-to-frame registration, which for live use must be performed in real time. In many situations, scene parallax may make alignment using global transformations impossible or error-prone, limiting the performance of subsequent processing and applications. For these cases, dense (per-pixel) correspondence is required, but this can be computationally prohibitive. This paper presents a hierarchical dense correspondence algorithm designed for implementation on graphics processing units (GPUs). Since the method does not rely on epipolar geometry, it is also suitable for use when there are uncorrected nonlinear lens distortions. A framework for using this dense correspondence to implement local mosaicking, super-resolution enhancement, and mover detection is also presented and demonstrated using examples of each of these types of enhancement and different types of video sources.