Mechanical Parts Recognition with 3D Graphical Modeling

Guo Liang Lu; Yi Qi Zhou; Xue Yong Li

doi:10.4028/www.scientific.net/AMM.644-650.4505

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Mechanical Parts Recognition with 3D Graphical...

Mechanical Parts Recognition with 3D Graphical Modeling

Abstract:

Computer vision based mechanical parts recognition has been received much research attention in recent years. In this paper, we present a new framework to address this problem. The framework utilizes the computer graphic technology to model mechanical parts. Recognition is realized by comparing one query image to the instance images using improved affine transformation based on particle swarm optimization (PSO). Our experiment shows that the proposed framework outperforms the conventional invariant moments based recognition methods in recognition rates.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4505-4508

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4505

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Online since:

September 2014

Authors:

Guo Liang Lu*, Yi Qi Zhou, Xue Yong Li

Keywords:

Affine Transformation, Graphical Models, Mechanical Part Recognition, Particle Swarm Optimization (PSO)

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* - Corresponding Author

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