3D CAD model matching from 2D local invariant features

被引：11
|
作者：
Zhu, K. P. [1 ]
Wong, Y. S. [1 ]
Lu, W. F. [1 ]
Loh, H. T. [1 ]
机构：
[1] Natl Univ Singapore, Dept Mech Engn, Lab Concurrent Engn & Logist, Singapore 119260, Singapore
来源：
COMPUTERS IN INDUSTRY | 2010年 / 61卷 / 05期
关键词：
CAD models; PCA; SIFT; Model matching; DIMENSIONALITY REDUCTION; SOLID MODELS; SHAPE; RECOGNITION; CLASSIFIER;
D O I：
10.1016/j.compind.2009.11.001
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The matching of particular types of CAD models to existing physical models can provide invaluable support to the process of CAD design and reuse. To meet the demand for fast and robust algorithms to detect predefined models in database, an local invariant model matching approach is proposed in this paper. It first maps the 3D CAD model to 2D principal image plane by its first two principal components, and then finds affine invariant key points in the 2D image. The CAD model matching problem is implemented as key points matching. Experimental results show the proposed 3D model retrieval method performs fairly well in retrieving similar models from a database of 3D CAD models. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：432 / 439
页数：8
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