Line correspondence for unknown camera positions

dc.contributor.author	Vanderkooy, Geoffrey Edward	en_US
dc.date.accessioned	2024-08-15T20:12:27Z
dc.date.available	2024-08-15T20:12:27Z
dc.date.copyright	1996	en_US
dc.date.issued	1996
dc.degree.department	Department of Mechanical Engineering
dc.degree.level	Master of Applied Science M.A.Sc.	en
dc.description.abstract	The correspondence problem of matching features between images from different positions has not be solved for uncalibrated cameras in arbitrary positions. The goal of feature matching is to determine enough matches so that the camera positions can be determined. A line matching algorithm based on the cross-ratio invariant from projective geometry and the absolute intensities of the line border regions is developed. Practical issues of data reduction, invariant cross-ratio identification and signal-to-noise ratio improvement are discussed. The algorithm is tested on synthetic and real image data. The signal-to-noise ratio for typical images turned out to be much lower than expected. Although insufficient for recovery of camera positions, line matches with very low error are achieved for camera rotations about an object of 45 degrees.
dc.format.extent	117 pages
dc.identifier.uri	https://hdl.handle.net/1828/20025
dc.rights	Available to the World Wide Web	en_US
dc.title	Line correspondence for unknown camera positions	en_US
dc.type	Thesis	en_US

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