Design and Implementation of Large-Scale Computer Vision Positioning Software

Article Preview

Abstract:

This paper presents a design method of large-scale visual positioning software combining embedded technology and software algorithm. The design process and implementation ideas of hardware and software are given, and the pattern recognition methods are utilized for accurate positioning of the target. The test method is to utilize the proposed system to process visual positioning recognition of airport obstacles. The experimental results show that the system can effectively improve the accuracy of recognition, thus ensuring the aircraft can evade the obstacle accurately in the process of running on the runway, and achieved satisfactory application results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

5744-5747

Citation:

Online since:

May 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Bertone P, Stolc V, Royce TE, et al. G lobal identification of human transcribed sequences with genom e tiling arrays [J]. Science, 2004, 306(24): 2242.

DOI: 10.1126/science.1103388

Google Scholar

[2] Selesnick, I.W., A new complex-directional wavelet transform and its application to image denoising[J]. IEEE CNF, Image Processing. 2002. Proceedings. , 2002, 3 : 573 – 576.

DOI: 10.1109/icip.2002.1039035

Google Scholar

[3] K. Hirakawa, T.W. Parks, Image Denoising for Signal-Dependent Noise[J]. IEEE ICASSP, 2005, 2: 29-32.

Google Scholar

[4] H. Tian, B. Fowler, A. E. Gamal, Analysis of Temporal Noise in CMOS Photodiode Active Pixel Sensor[J]. IEEE Jnl. Solid-State Circuits, 2001, 36(1): 92 - 101.

DOI: 10.1109/4.896233

Google Scholar

[5] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, Image quality assessment: From error visibility to structural similarity[J]. IEEE Trans. Image Process., 2004(4), 13(4): 600–612.

DOI: 10.1109/tip.2003.819861

Google Scholar