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bundle block adjustment with 3d natural cubic splines

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straight features and conic sections. In this work the integrated model of the extendedcollinearity equation utilizing 3D <strong>natural</strong> <strong>cubic</strong> spline and arc-length parameterizationis derived to recover the exterior orientation parameters, 3D <strong>natural</strong> <strong>cubic</strong> splineparameters and spline location parameters. The research topics in this dissertationare sketched below bullet items.• 3D <strong>natural</strong> <strong>cubic</strong> spline is adopted for the 3D line expression in the objectspace to represent 3D features as parametric form. The result of this algorithmare the tie and control features for <strong>bundle</strong> <strong>block</strong> <strong>adjustment</strong>.This is a keyconcept of the mathematical model of linear features in the object space andits counterpart in the projected image space for line photogrammetry.• Arc-length parameterization of 3D <strong>natural</strong> <strong>cubic</strong> <strong>splines</strong> using Simpson’s rule isdeveloped to solve over-parameterization of 3D <strong>natural</strong> <strong>cubic</strong> <strong>splines</strong>. Additionalequation to the extended collinearity equation expands <strong>bundle</strong> <strong>block</strong> <strong>adjustment</strong>from limited conditions such as straight lines or conic sections (circles, ellipses,parabolas and hyperbolas) to general cases.• Tangents of <strong>splines</strong> which are additional equations to solve the overparameterizationof 3D <strong>natural</strong> <strong>cubic</strong> <strong>splines</strong> are established in case linear features in theobject space are straight lines or conic sections.• To establish the correspondence between 3D <strong>natural</strong> <strong>cubic</strong> <strong>splines</strong> in the objectspace and their associated features in the 2D projected image space, the extendedcollinearity equation employing the projection ray which intersects the3D <strong>natural</strong> <strong>cubic</strong> <strong>splines</strong> is developed and linearized for least squares method.8

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