Quasi Fourier-Mellin Transform for Affine Invariant Features

被引:14
|
作者
Yang, Jianwei [1 ]
Lu, Zhengda [1 ]
Tang, Yuan Yan [2 ,3 ]
Yuan, Zhou [1 ]
Chen, Yunjie [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Math & Stat, Nanjing 210044, Peoples R China
[2] Univ Macau, Zhuhai UM Sci & Technol Res Ctr, Macau, Peoples R China
[3] UOW Coll Hong Kong, Fac Sci & Technol, Hong Kong, Peoples R China
基金
美国国家科学基金会; 国家重点研发计划;
关键词
Quasi Fourier-Mellin transform; quasi Fourier-Mellin descriptor; Fourier-Mellin transform; affine transform; feature extraction; ROTATION-INVARIANT; MOMENT INVARIANTS; PATTERN-RECOGNITION; NEURAL-NETWORKS; DESCRIPTORS; RADON; REPRESENTATION; ALGORITHM; ROBUST; POLAR;
D O I
10.1109/TIP.2020.2967578
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fourier-Mellin transform (FMT) has been widely used for the extraction of rotation- and scale-invariant features. However, affine transform is a more reasonable approximation model for real viewpoint change. Due to shearing, the integral along the angular direction in the calculation of FMT cannot be used to extract the inherent features of an image undergoing affine transform. To eliminate the effect of shearing, whitening transform should be conducted on the integral along the radial direction. FMT can hardly be modified by conventional whitening-based methods with low computational cost due to additional processes. In this paper, two factors are constructed and embedded into FMT. Quasi Fourier-Mellin transform (QFMT) is proposed. The embedding of these factors is equivalent to whitening transform and can eliminate the effect of shearing in the affine transform. In particular, QFMT can also be calculated by integrating along the radial direction followed by integrating along the angular direction, as in FMT. Based on QFMT, the quasi Fourier-Mellin descriptor (QFMD) is constructed for the extraction of affine invariant features. Some experiments have also been conducted to test the performance of the proposed method.
引用
收藏
页码:4114 / 4129
页数:16
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