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Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping.
Tu, Liyun; Yang, Dan; Vicory, Jared; Zhang, Xiaohong; Pizer, Stephen M; Styner, Martin.
Afiliação
  • Tu L; College of Computer Science, Chongqing University, Chongqing 400044 China, and also with the Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599 USA.
  • Yang D; College of Computer Science, Chongqing University, Chongqing 400044 China.
  • Vicory J; Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599 USA.
  • Zhang X; School of Software Engineering, Chongqing University, Chongqing 400044 China, and also with the Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing 400044 China.
  • Pizer SM; Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599 USA.
  • Styner M; Department of Computer Science and the Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599 USA.
IEEE Signal Process Lett ; 22(12): 2269-2273, 2015 Dec.
Article em En | MEDLINE | ID: mdl-31402834
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article