Mar 24, 2016 · Abstract:In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion based Correlation Filter Bank (MS-CFB), ...
In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion based Correlation Filter Bank (MS-CFB), for robust face ...
In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion based Correlation Filter Bank (MS-CFB), for robust face recognition.
IET Image Process. 2018. The author proposes a robust face recognition algorithm called non-linear correlation filter bank (NCFB). NCFB combines the benefits of ...
Multi-subregion based correlation filter bank for robust face recognition. Author: Yan, Y. Wang, H. Suter, D. Citation: Pattern Recognition, 2014; 47(11):3487- ...
In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion based Correlation Filter Bank (MS-CFB), for robust face ...
Multi-subregion based correlation filter bank for robust face recognition
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Mar 14, 2022 · Multi-subregion based correlation filter bank for robust face recognition ... Pattern Recognition; number: 11; pages: 3487-3501; publisher ...
Jan 10, 2018 · The author proposes a robust face recognition algorithm called non-linear correlation filter bank (NCFB). NCFB combines the benefits of a ...
Robust face recognition via non-linear correlation filter bank · M. Taheri · IET Image Processing ; Multi-Subregion Based Correlation Filter Bank for Robust Face ...
Multi-subregion based correlation filter bank for robust face recognition. Yan Yan, Hanzi Wang, David Suter. Pattern Recognition (2014) 0 comments. You have ...