DocumentCode
263800
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
Volume
1
fYear
2014
fDate
8-11 Dec. 2014
Firstpage
697
Lastpage
704
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;
fLanguage
English
Publisher
ieee
Conference_Titel
3D Vision (3DV), 2014 2nd International Conference on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/3DV.2014.30
Filename
7035887
Link To Document