A novel riemannian framework for shape analysis of 3D objects

Author(s):  
Sebastian Kurtek ◽  
Eric Klassen ◽  
Zhaohua Ding ◽  
Anuj Srivastava
NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S123
Author(s):  
SH Joshi ◽  
KL Narr ◽  
RP Woods ◽  
OR Phillips ◽  
KH Nuechterlein ◽  
...  

2012 ◽  
Vol 239-240 ◽  
pp. 694-699
Author(s):  
Li Feng Yao ◽  
Jian Fei Ouyang ◽  
Xiang Ma

In bio-medicine and other fields, shape analysis is very important for diagnosis of diseases and prediction of shape variation. This paper focuses on the surface parameterization of tube-like 3D objects to obtain and analyze shape information from a sample shape, including its size and the shape variation between different samples. It can well represent the global and local shape information for statistical analysis and for the construction of Medial Shape Model. Firstly, we extract the axis curve of the object by a heat conduction model. Secondly, we obtain the latitude circles by using the normal planes to cross the surface. Then we get the final parameterized surface with quad-dominant meshes by registering the points of single latitude circle and between different circles through coordinate transformation and alignment. Subsequently, we apply the approach to parameterization of a rib bone.


1989 ◽  
Vol 136 (2) ◽  
pp. 124
Author(s):  
Ming-Hong Chan ◽  
Hung-Tat Tsui

Author(s):  
David Netherway ◽  
Amanda Abbott ◽  
Nadim Gulamhuseinwala ◽  
Karen McGlaughlin ◽  
Peter Anderson ◽  
...  
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