Conference Proceeding

A novel feature points selection algorithm for 3D triangular mesh models

Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan
11/2008; DOI:10.1109/ICOSP.2008.4697302 pp.1023 - 1026 In proceeding of: Signal Processing, 2008. ICSP 2008. 9th International Conference on
Source: IEEE Xplore

ABSTRACT As an important technique of 3D (Three-dimensional) mesh model retrieval and partition, feature points are widely used to describe the intrinsic characteristics of 3D surfaces. In this paper, a novel feature points selection algorithm is proposed for 3D triangular mesh models. Detecting from the sudden variation regions of the 3D mesh models, feature points selected by our algorithm carry the significant information and possess the global geometry characteristic of the models. Experimental results show that the selected feature points are robust against attack operations on the mesh models such as mesh simplification and adding noise.

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Keywords

3D mesh models
 
3D triangular mesh models
 
feature points
 
global geometry characteristic
 
intrinsic characteristics
 
mesh models
 
mesh simplification
 
novel feature points selection algorithm
 
selected feature points
 
significant information
 
sudden variation regions