Scalable alignment of large-format multi-projector displays using camera homography trees
Proceedings of the conference on Visualization '02
Automated Mosaics via Topology Inference
IEEE Computer Graphics and Applications
Multiview Registration of 3D Scenes by Minimizing Error between Coordinate Frames
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Machine Vision and Applications
Determining vision graphs for distributed camera networks using feature digests
EURASIP Journal on Applied Signal Processing
A New Global Alignment Method for Feature Based Image Mosaicing
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Near-optimal mosaic selection for rotating and zooming video cameras
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Fast topology estimation for image mosaicing using adaptive information thresholding
Robotics and Autonomous Systems
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
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We describe a graph-based global registration method for creating 2D mosaic images. When multi-frames overlap in space, global registration is necessary to minimize the accumulated registration errors. We use a graph to represent the temporal and spatial connectivity and show that global registration can be obtained through the search for an optimal path in the constructed graph. The definition of an adequate objective function characterizing the global registration provides a direct manipulation of the graph. The framework presented here allows the automatic construction of the graph, and the construction of a consistent mosaic from a collection of frames using projective transformations.