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- W2113249963 abstract "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." @default.
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- W2113249963 date "2004-06-10" @default.
- W2113249963 modified "2023-09-23" @default.
- W2113249963 title "Global curvature analysis and segmentation of volumetric data sets using trivariate b-spline functions" @default.
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- W2113249963 doi "https://doi.org/10.1109/gmap.2004.1290043" @default.
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