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- W2023100577 abstract "This paper presents an approach for identification and reconstruction of surfaces from unorganized three-dimensional data. The concepts of distance function and free differential motion are introduced to characterize the kinematic properties of some kinds of surfaces, including simple surfaces and kinematic surfaces generated by a generatrix undergoing a screw motion. Then, a method is proposed automatically to identify the type of the surface and roughly estimate the location of the screw axis as well as the profile of the generatrix from the discrete measurement points. Based on the differential property of the signed distance function, a least-squares surface fitting algorithm is developed to finely tune the location and shape parameters of the reconstructed surface. This algorithm is also applicable to the reconstruction of implicit surfaces such as quadratic surfaces. Examples are provided to investigate the efficiency and precision of the developed method." @default.
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- W2023100577 date "2009-04-24" @default.
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- W2023100577 title "Identification and reconstruction of surfaces based on distance function" @default.
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