Abstract
This paper is concerned with the robust identification of patches from simple geometric surfaces such as planes, spheres, and cylinders. This is done from 3D data acquired using a range scanner, along with principal quadric estimates at each point. Properties of the Gaussian and mean curvature (e.g., their sign) at points on surfaces of the target class are used to reject all points that could not be on such a surface. Each remaining point is then mapped to the parameters of the unique surface in its class that contains it, if it were on such a surface. Region growing and clustering techniques are used to identify those points actually on a surface of the target class and to extract the surface parameters.
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© 1997 Springer-Verlag Berlin Heidelberg
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McIvor, A.M., Waltenberg, P.T. (1997). Recognition of simple curved surfaces from 3D surface data. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_151
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DOI: https://doi.org/10.1007/3-540-63930-6_151
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