DocumentCode :
442828
Title :
3D curve interpolation and object reconstruction
Author :
Baloch, S.H. ; Krim, H. ; Mio, W. ; Srivastava, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
2
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
Three dimensional objects viewed as surfaces or volumes embedded in R3, are usually sampled along the z-dimension by planes for rendering or modeling purposes. The resulting intersections are curves or planar shapes which may in turn be modeled for parsimony of representation. Each curve or planar shape may be viewed as a point in a high dimensional manifold, thereby providing the notion of interpolation between two curves or two points on this manifold to reconstruct the subsurface that lies between the two slices. We exploit some recent results in formulating this interpolation problem as an optimization problem in R3 to yield a simple interpolating spline, known as elasticae, which when evaluated at intermediate points yields curves which can in turn be instrumental in 3D reconstruction. The approach is particularly suited for interpolation between MRI slices and for modeling and reconstruction of 3D shapes.
Keywords :
image reconstruction; image representation; optimisation; splines (mathematics); 3D curve interpolation; 3D shapes reconstruction; elasticae; high dimensional manifold; object reconstruction; optimization problem; planar shapes; simple interpolating spline; Image reconstruction; Instruments; Interpolation; Magnetic resonance imaging; Sampling methods; Shape; Signal processing; Spline; Surface reconstruction; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530222
Filename :
1530222
Link To Document :
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