Vector features for image matching and image registration

Jianning Liang; Yan Zhou

doi:10.1117/12.2050993

10 January 2014 Vector features for image matching and image registration

Jianning Liang, Yan Zhou

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906918 (2014) https://doi.org/10.1117/12.2050993
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Jianning Liang and Yan Zhou "Vector features for image matching and image registration", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906918 (10 January 2014); https://doi.org/10.1117/12.2050993

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