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Digital Mapping Laboratory
Carnegie Mellon University


``Bundle Adjustment with Geometric Constraints for Hypothesis Evaluation''.    (PDF, 0.193 Mb; PostScript, 0.461 Mb)
Chris McGlone,
in: International Archives of Photogrammetry and Remote Sensing, XXXI, B3, Vienna, Austria
July, 1996.
[grayscale]

Abstract

This paper describes the use of a bundle adjustment with geometric constraints t o evaluate feature matches and geometric assumptions, based on the use of reliability statistics. Our evaluation procedure starts with the smallest possible redundant geometric subsets of the object, (e.g., one right-angle corner of a rectangular building), finds consistent feature matches among them, and then combines the consistent matches into larger geometric entities and continues the evaluation. We derive statistics to verify the geometric assumptions used in the solution and demonstrate their use to detect erroneous geometric constraints.


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