Three dimensional dynamic video position sensing Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gh93h385c

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  • A comprehensive system to locate and track objects in two or three dimensional space, using non-contact video sensing techniques is described. The need exists to be able to quantify range and proximity of objects that would be difficult or impossible to measure using standard contact based sensor technology. Available video technology is surveyed and classified. Then, a hardware system is assembled that fulfills the project goal, within given budgetary constraints. The individual components of the system are described in detail. The theoretical solution for single camera, 2-D positioning, is developed. A device dependent computer algorithm is developed to perform the object location. An accurate multi-camera, 3-D positioning algorithm is also developed. A method to calibrate the cameras is also described and applied. Computer algorithms to perform calibration and solve the multiple view, 3-D location geometry are presented. The theoretical equations and most of the algorithms are transferable, not hardware specific. Examples using the 2-D model are presented. The first test is a submerged, single degree of freedom model that was subjected to wave action. Video tracking data is compared with available positioning data from string potentiometers. The second test is a surface float application where contact sensing methods were not possible. The 3-D algorithm is demonstrated in an above water test. The longitudinal motion of a linear constrained target is measured with a string potentiometer and compared with a two-camera, 3-D video interpretation of the motion. The calibration method is verified with the 3-D algorithm.
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  • Figures in original are black and white photocopies. Best scan available.
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