BibTeX
@MISC{Deformation_keywords:shape,
author = {Shape Deformation},
title = {Keywords: Shape space},
year = {}
}
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Abstract
a no els. A at eac ing two shapes on the shape space manifold. The geodesic distance illustrates the similarity ies, s missi Therefore, physically based approaches, such as deform-able models, are employed to approximate the object e shape [2], con-such as m. Then, an r is minim classify the shapes. The modern geometry intr shape space [5,6], where coordinates of points in thi represent some generalized properties related to geometrical properties. In other words, a shape space is established such that each surface group relates to the same point in shape space. This inspires us to innovate the geometry-based approaches for dynamic shape analy-sis and shape deformation classification. 1524-0703/ $- see front matter Published by Elsevier Inc. q This paper has been recommended for acceptance by Hunjun Bao and
Keyphrases
shape space modern geometry intr shape space similarity y geometrical property geometry-based approach elsevier inc thi represent shape space manifold dynamic shape analy-sis 1524-0703 see front matter deform-able model hunjun bao object shape shape deformation classification surface group missi therefore geodesic distance
