DocumentCode :
2116884
Title :
Rotational flows for interpolation between sampled surfaces
Author :
Levy, Joshua H. ; Foskey, Mark ; Pizer, Stephen M.
Author_Institution :
Med. Image Display&Anal. Group (MIDAG), Univ. of North Carolina at Chapel Hill, Chapel Hill, NC
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
We introduce a locally defined shape-maintaining method for interpolating between corresponding oriented samples (vertices) from a pair of surfaces. We have applied this method to interpolate synthetic data sets in two and three dimensions and to interpolate medially represented shape models of anatomical objects in three dimensions. In the plane, each oriented vertex follows a circular arc as if it was rotating to its destination. In three dimensions, each oriented vertex moves along a helical path that combines in-plane rotation with translation along the axis of rotation. We show that our planar method provides shape-maintaining interpolations when the reference and target objects are similar. Moreover, the interpolations are size maintaining when the reference and target objects are congruent. In three dimensions, similar objects are interpolated by an affine transformation. We use measurements of the fractional anisotropy of such global affine transformations to demonstrate that our method is generally more-shape preserving than the alternative of interpolating vertices along linear paths irrespective of changes in orientation. In both two and three dimensions we have experimental evidence that when non-shape-preserving deformations are applied to template shapes, the interpolation tends to be visually satisfying with each intermediate object appearing to belong to the same class of objects as the end points.
Keywords :
image representation; image sampling; interpolation; medical image processing; solid modelling; surface fitting; affine transformation; anatomical object; fractional anisotropy; medical shape representation; rotational flow; sampled surface interpolation; shape-maintaining method; Animation; Anisotropic magnetoresistance; Biomedical imaging; Displays; Graphics; Image analysis; Image segmentation; Interpolation; Shape measurement; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
ISSN :
2160-7508
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2008.4563017
Filename :
4563017
Link To Document :
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