Abstract
A number of studies have been carried out on the passive ranging method based on the monocular imaging features to non-cooperative target. This paper deals with target ranging estimation system focus on image linear feature. The ranging system implements target ranging by means of adjacent image matching method to extract target feature points, then obtain target rotational invariant linear feature, and combined target azimuth and pitching relative to camera when image is taken with camera space coordinate, the target distance to image pickup system is gained by solving the certain target ranging equation. As for target linear feature extraction, the paper applies three algorithms of the sub-pixel Harris corners method, the Simplified Scale Invariant Feature Transform (SSIFT) method and Speeded Up Robust features (SURF) method to extract linear feature and makes an analysis to ranging performance. It implied by our experiment that the SURF algorithm is the best one in the three methods. Its computational error is relatively small, and the time consumed is shorter compared with other two algorithms. The error of the sub-pixel Harris algorithm is a bit of larger than SSIFT algorithm while the real time realization performance is better than SSIFT algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fu, X.-N.: Research on Infrared Passive Location Technology from Mono-station. Doctor dissertation. Xidian University, Xi’an (2005)
Huang, S.-K., Xia, T., Zhang, T.-X.: Passive ranging method based on infrared images. Infrared and Laser Engineering 126(1), 109–112+126 (2007)
Guo, L., Xu, Y.-C., Li, K.-Q., Lian, X.-M.: Study on Real-time Distance Detection Based on Monocular Vision Technique. Journal of Image and Graphics 11(1), 74–81 (2006)
Wang, D., Fu, X.-N.: A passive ranging system based on image sequence from single lens and the imaging direction - Introduction and performance. In: ICNNT, Taiyuan, China (2011)
A method for distance estimation based on the imaging system. Chinese Patent (February 2010)
Liang, Z.-M., Gao, H.-M., Wang, Z.-J., Wu, L.: Sub-pixels corner detection for camera calibration. Transactions of the China Welding Institution 27(2), 102–104 (2006)
Zhao, W.-B., Zhang, Y.-N.: Survey on Corner Detecton. J. of Application Research of Computers 38(10), 17–19 (2006)
Zhang, S.-Z., Song, H.-L., Xiang, X.-Y., Zhao, Y.-N.: Fast SIFT Algorithm for Object Recognition. J. of Computer Systems & Applications 19(6), 82–85+186 (2010)
Liu, L., Peng, F.-Y., Zhao, K., Wan, Y.-P.: Simplified SIFT algorithm for fast image matching. J. of Infrared and Laser Engineering 37(1), 181–184 (2008)
Tang, Y.-H., Lu, H.-Z., Hou, W.-J.: Serial Images Matching Algorithm Based on DOG Feature Points. J. of Modern Electronics Technique 136(4), 128–130+136 (2008)
Lu, X.-M., Sun, Z.-J., Wu, J., Wang, J.-B., Yu, T.-X., Zhao, L., Ding, X.-H.: An Improved Algorithm of Image Registration based on SURF. Dunhuang Research (6), 88–92 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Guo-qiang, H., Xiao-ning, F., Tian-xiang, H. (2012). A Comparison of Local Linear Feature Extraction. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28308-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-28308-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28307-9
Online ISBN: 978-3-642-28308-6
eBook Packages: EngineeringEngineering (R0)