Title :
Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping
Author :
Tu, Liyun ; Yang, Dan ; Vicory, Jared ; Zhang, Xiaohong ; Pizer, Stephen M. ; Styner, Martin
Author_Institution :
College of Computer Science, Chongqing University, Chongqing, China
Abstract :
We present a scheme that propagates a reference skeletal model (s-rep) into a particular case of an object, thereby propagating the initial shape-related layout of the skeleton-to-boundary vectors, called spokes. The scheme represents the surfaces of the template as well as the target objects by spherical harmonics and computes a warp between these via a thin plate spline. To form the propagated s-rep, it applies the warp to the spokes of the template s-rep and then statistically refines. This automatic approach promises to make s-rep fitting robust for complicated objects, which allows s-rep based statistics to be available to all. The improvement in fitting and statistics is significant compared with the previous methods and in statistics compared with a state-of-the-art boundary based method.
Keywords :
Computational modeling; Fitting; Harmonic analysis; Image segmentation; Optimization; Shape; Splines (mathematics); Correspondence propagation; medical imaging; skeletal model; statistical analysis; thin plate spline;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2476366