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Proceedings Paper

Vector features for image matching and image registration
Author(s): Jianning Liang; Yan Zhou
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Paper Abstract

Image matching plays an important role in a variety of applications. For matching images, the features are needed to describe the local content of images. In this paper, we proposed novel features (Vector Features) for image matching and image registration. The vector features are based on the intensity differences of the pixels around the interesting points and characterize the spatial distribution of gray values in an effective and efficient way. In the experiments, the invariance of vector features to image rotation is verified. The vector features perform well on the images of different focal lengths and the multi-view images. The experiment on image registration demonstrates a good result.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906918 (10 January 2014); doi: 10.1117/12.2050993
Show Author Affiliations
Jianning Liang, East China Univ. of Science and Technology (China)
Yan Zhou, East China Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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