Vector features for image matching and image registration
Jianning Liang, Yan Zhou · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.