An Adaptive Local Descriptor Embedding Zernike Moments for Image Matching

An Adaptive Local Descriptor Embedding Zernike Moments for Image Matching

Image matching is an important problem in computer vision and many technologies based on local descriptors have been developed. In this paper, we propose a novel local features descriptor based on an adaptive neighborhood and embedding Zernike moments. Instead of a fixed-size neighborhood, a size ch...

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Bibliographic Details
Main Authors: Bin Zhou, Xue-Mei Duan, Wei Wei, Dong-Jun Ye, Marcin Wozniak, Robertas Damasevicius
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Scale invariance
Zernike moment
adaptive neighborhood
dominant direction fitting
difference of Gaussian
Online Access:https://ieeexplore.ieee.org/document/8933453/

Internet

https://ieeexplore.ieee.org/document/8933453/

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