Abstract
SIFT features are invariant to image scale, translation and rotation, and are shown to provide robust matching across a substantial range of affine distortion, so it is widely used in image matching. This paper presents the SIFT feature extracting process in detail, and the application in image matching and locating. This paper also presents an approach to use SIFT keypoints to calculate the coordinate transforming parameters between two images, and the expressions, finally accomplishing the target locating, which exist in two images together. Simulation results indicate that SIFT features have excellent performance in image matching. It is precision for target locating between two images based on SIFT algorithm.
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© 2011 Springer-Verlag Berlin Heidelberg
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Bo, L., Yuanping, J., Jinlei, D. (2011). Target Localization Based on SIFT Algorithm. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_1
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DOI: https://doi.org/10.1007/978-3-642-23214-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23213-8
Online ISBN: 978-3-642-23214-5
eBook Packages: Computer ScienceComputer Science (R0)