Dual-Tree Complex Wavelet Transform(DT-CWT) can provide shift invariance and directional selectivity.
对偶树复小波变换具有良好的方向选择性和平移不变性。
参考来源 - 基于对偶树复小波变换的纹理特征提取及分割Approximate shift invariance, good directional selectivity, computational efficiency properties of Dual-Tree Complex Wavelet Transform (DTCWT) make it a good candidate for representing the face features.
二元树复小波变换(DTCWT)是一种变换工具,具备近似平移不变、多方向选择、完全重构和高效计算等优点,适合于人脸特征提取。
参考来源 - 基于二元树复小波特征的人脸识别Dual-tree Complex Wavelet Transform (DT-CWT) has been introduced into the filed of biometrics recognition to solve the problems of the real DWT due to its good properties of shift-variance and improved directionality.
双树复数小波变换具有平移不变性以及改进的多方向选择性,它对离散实数小波变换所存在的问题进行了改进。
参考来源 - 小波变换在生物特征识别技术中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
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