Volume 7 Number 2 (Feb. 2012)
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JSW 2012 Vol.7(2): 290-295 ISSN: 1796-217X
doi: 10.4304/jsw.7.2.290-295

A Novel Method to Eliminate Blind Areas for Moving Double Cameras System Based on Biomimetic Eyes

Jun Luo1, Hengyu Li1,3, Lei Li1, Shuping Li1,2, and Shaorong Xie1
1School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
2School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
3School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454000, China


Abstract—Based on the characteristics of binocular vergence eye movements, A new type of method to reduce blind areas caused by double cameras in motion platform was put forward, and a model for control binocular vergence eye movements was established according to neural pathways of human binocular oculomotor system. With the model, it is guaranteed that target areas can remain in the public vision field of the double cameras all the time during the double cameras platform moving. This feature is very important for the moving double cameras system, since 3D reconstruction needs the double cameras to have an overlapping field of vision. To evaluate the effectiveness of the proposed method, some experiments on the model were conducted. The simulation and experimental results show that the model can realize adaptive binocular vergence movements. Compared with the traditional methods, this new one can eliminate blind areas for moving double cameras system.

Index Terms—biomimetic eyes, double cameras system, vergence eye movements, oculomotor control modelling.

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Cite: Jun Luo,Hengyu Li, Lei Li, Shuping Li, and Shaorong Xie "A Novel Method to Eliminate Blind Areas for Moving Double Cameras System Based on Biomimetic Eyes," Journal of Software vol. 7, no.2, pp. 290-295, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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