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Augmented reality applications based on video projection, to be effective, must track moving targets and make sure that the display remains aligned even when they move, but the projection can severely alter their appearances to the point where traditional computer vision algorithms fail. Current solutions consider the displayed content as interference and(More)
Projector-camera systems drive applications in many fields such as measurement and spatial augmented reality. When needed, we can find their internal and external parameters via geometric calibration. For this process, we have to use both a printed pattern and a projector pattern , but they can easily interfere with each other. Current methods compensate by(More)
When an occluding object, such as a person, stands between a projector and a display surface, a shadow results. We can compensate by positioning multiple projectors so they produce identical and overlapping images and by using a system to locate shadows. Existing systems work by detecting either the shadows or the occluders. Shadow detection methods cannot(More)
Projector-camera systems use computer vision to analyze their surroundings and display feedback directly onto real world objects, as embodied by spatial augmented reality. To be effective, the display must remain aligned even when the target object moves, but the added illumination causes problems for traditional algorithms. Current solutions consider the(More)
The plane sweep algorithm, although widely used in computational geometry, does not parallelize efficiently, rendering it incapable of benefiting from recent trends of multi-core CPUs and general-purpose GPUs. Instead of the plane sweep, some researchers have proposed the uniform grid as a foundation for parallel algorithms of computational geometry, but(More)
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