To read the full version of this content please select one of the options below:

Swift perspective shape matching algorithm based on Phong’s model for FPC stiffener bonding systems

Ye Su (College of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China and The Institute of Optics and Electronics, The Chinese Academy of Sciences, Chengdu, People’s Republic of China)
Ye Yutang (College of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China)
Xie Yu (College of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China)
Yi Maoli (Chengdu Holdtecs Co Ltd, Chengdu, People’s Republic of China)
Zhang Jing (College of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China)
Luo Ying (College of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China and Chengdu Holdtecs Co Ltd, Chengdu, People’s Republic of China)
Du Chunlei (The Institute of Optics and Electronics, The Chinese Academy of Sciences, Chengdu, People’s Republic of China)

Circuit World

ISSN: 0305-6120

Article publication date: 28 October 2014

Downloads
86

Abstract

Purpose

This paper aims to solve the issue of target positioning in auto stiffener bonder (ASB) systems for flexible printed circuits.

Design/methodology/approach

The proposed approach uses Phong’s bidirectional reflectance distribution function (BRDF) model to simulate the reflection of light off a target in ASB systems to predict the current pose of the target based on image brightness, update the template, decrease the initial errors in the template and narrow down the search range.

Findings

The experimental results indicate that the proposed approach can predict the inclination angle of the target with precision, presenting angle prediction errors of less than three degrees. Furthermore, with larger inclined angles, the overall matching errors were less than 1.5 pixels. Comparisons with the unmodified matching algorithm revealed that the proposed approach resulted in 65 per cent less calculation time for the algorithm and 14 per cent higher overall work efficiency in the ASB system.

Originality/value

The edge-based perspective shape matching algorithm was modified using the Phong BRDF model and enhanced algorithm efficiency with the target pose prediction method while ensuring the precision and robustness of the system. The proposed approach has high potential value and can be expanded to recognition systems for objects with varying inclination angles and highly reflective surfaces.

Keywords

Acknowledgements

This work was funded by National Nature Science Foundation of China (No.61205004).

Citation

Su, Y., Yutang, Y., Yu, X., Maoli, Y., Jing, Z., Ying, L. and Chunlei, D. (2014), "Swift perspective shape matching algorithm based on Phong’s model for FPC stiffener bonding systems", Circuit World, Vol. 40 No. 4, pp. 141-149. https://doi.org/10.1108/CW-06-2014-0023

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited