Abstract
An automatic video image matching algorithm based on SIFT feature points was presented in this paper. The optimized implementation of the best-bin-first(BBF) algorithm based on kd-Tree was used in coarse matching, random sample consensus(RANSAC)was used in accurate matching, the last use the global information are calculated to update the match precision. with pixel brightness weighting in HIS color space was proposed in blending images. The experimental results show that the method with strong robustness performs fast and effectively and has highly valuable in practice.
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
Szeliski, R.: Image Alignment and Stitching, Technical Report. MSR-TR-2004-92 Redmond, Washington DC, USA: Microsoft Research (2004)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Intenational Journal of Computer Vision 60(1), 91–110 (2004)
Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. International Journal of Computer Vision 74(1), 59–73 (2006)
Mass, H.G., Schneider, D.: A geometric model for linear-array-based terrestrialpanoramic cameras. The Photogrammetric Record 21(115), 198–210 (2006)
Zhang, X., Zhang, X., Ji, F., Yu, Q.: Known Landing Area Rough Locating from Far Distance Based on DDM-SIFT. IEEE Image and Signal Processing 1, 686–690 (2008)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision 60, 91–110 (2004)
Ce, Z., Xiao, L., Chau, L.-P.: Hexagon-Based Search Pattern for Fast Block Motion Estimation. IEEE Transactions on Circuits and Systems for Video Technology 12, 349–355 (2002)
Mikolajczy, K., Schmid, C.: Scale & affine invariant interest point detectors. International Journal of Computer Vision 60(1), 63–86 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Song, F., Lu, B. (2013). An Automatic Video Image Mosaic Algorithm Based on SIFT Feature Matching. In: Yang, G. (eds) Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Advances in Intelligent Systems and Computing, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31698-2_124
Download citation
DOI: https://doi.org/10.1007/978-3-642-31698-2_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31697-5
Online ISBN: 978-3-642-31698-2
eBook Packages: EngineeringEngineering (R0)