Title :
On Reliable Estimation of Curvatures of Implicit Surfaces
Author :
Hauenstein, Jacob D. ; Newman, Timothy S.
Author_Institution :
Univ. of Alabama in Huntsville, Huntsville, AL, USA
Abstract :
Estimation of curvature in volumetric datasets is considered. One component of the exhibition here is new extensions of several known methods for such estimations in range images to the new domain of volumetric datasets. A second component is that the (1) accuracy and (2) computational performance of these extensions (and five well-known existing methods for curvature estimation in volumetric datasets) are comparatively examined.
Keywords :
computerised instrumentation; curvature measurement; estimation theory; image processing; reliability; image estimation; implicit surface curvature estimation; reliability; volumetric domain dataset; Accuracy; Convolution; Estimation; Kernel; Linear regression; Splines (mathematics); Tensile stress; curvature; registration; volume data; volume visualization;
Conference_Titel :
3D Vision (3DV), 2014 2nd International Conference on
Conference_Location :
Tokyo
DOI :
10.1109/3DV.2014.30