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Global Curvature Analysis and Segmentation of Volumetric Data Sets Using Trivariate B-spline Functions
Beijing, China April 13-April 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GMAP.2004.1290043Geometric Modeling and Processing 2004
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Octavian Soldea, Technion-Israel Institute of Technology
Gershon Elber, Technion-Israel Institute of Technology
Ehud Rivlin, Technion-Israel Institute of Technology
This paper presents a scheme to globally compute, bound, and analyze the Gaussian and mean curvatures of an entire volumetric data set, using a trivariate B-spline volumetric representation. The proposed scheme is not only precise and insensitive to aliasing, but also provides a method to globally segment the images into volumetric regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfaces, and volumetric regions with saddle-like (hyperbolic) iso-surfaces, regardless of the value of the iso-surface level. This scheme, which derives a new differential scalar field for a given scalar field, could easily be adapted to other differential properties.
Citation:
Octavian Soldea, Gershon Elber, Ehud Rivlin, "Global Curvature Analysis and Segmentation of Volumetric Data Sets Using Trivariate B-spline Functions," gmp, pp.217, Geometric Modeling and Processing 2004, 2004
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