Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compind.2009.11.001
Title: 3D CAD model matching from 2D local invariant features
Authors: Zhu, K.P. 
Wong, Y.S. 
Lu, W.F. 
Loh, H.T. 
Keywords: CAD models
Model matching
PCA
SIFT
Issue Date: Jun-2010
Source: Zhu, K.P., Wong, Y.S., Lu, W.F., Loh, H.T. (2010-06). 3D CAD model matching from 2D local invariant features. Computers in Industry 61 (5) : 432-439. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compind.2009.11.001
Abstract: 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. © 2009 Elsevier B.V. All rights reserved.
Source Title: Computers in Industry
URI: http://scholarbank.nus.edu.sg/handle/10635/53856
ISSN: 01663615
DOI: 10.1016/j.compind.2009.11.001
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