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Matching and Pose Refinement with Camera Pose Estimates

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Author(s)
Coorg, Satyan
•
Teller, Seth
Date Issued
January 1996
Series/Report no.
MIT-LCS-TM-561
Abstract
This paper describes novel algorithms that use absolute camera pose information to identify correspondence among point features in hundreds or thousands of images. Our incidence counting algorithm is a geometric approach to matching: it makes features by extruding them into an absolute 3-D coordinate system, then searching 3-D space for regions into which many features project.
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