A well known paradigm in scene reconstruction is the registration of a series of partially overlapping images into a larger image of the entire scene. A specific example of this paradigm is found in the reconstruction of aerial photography. Traditional correlation using frequency domain multiplication cannot efficiently register such imagery because the correlation requires a known template of the overlapping area, else the correct alignment response is corrupted by high sidelobe responses. We discuss a sophisticated supervised correlation process that makes use of special composite filter response characteristics to suppress these sidelobes. Thus, the detection and orientation estimation become independent of the amount, orientation and location of the overlapping regions. Our discussion will also include variations of this partial overlap paradigm that apply to a wide variety of applications in scene reconstruction.
Registration of partially overlapping images using composite filters
Optical Pattern Recognition XI ; 2000 ; Orlando,FL,United States
Proc. SPIE ; 4043
2000-03-31
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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