Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation

2016 ◽  
Author(s):  
Dipan K. Pal ◽  
Felix Juefei-Xu ◽  
Marios Savvides
Keyword(s):  
Face Recognition ◽  
Pose Estimation ◽  
Invariant Kernel

Pose estimation and frontal face detection for face recognition

2005 ◽  
Author(s):  
Eng Thiam Lim ◽  
Jiangang Wang ◽  
Wei Xie ◽  
Venkarteswarlu Ronda
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Pose Estimation

scholarly journals Directional Correlation Filter Bank for Robust Head Pose Estimation and Face Recognition

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Si Chen ◽  
Dong Yan ◽  
Yan Yan
Keyword(s):  
Face Recognition ◽  
Pose Estimation ◽  
Filter Bank ◽  
Facial Feature ◽  
Correlation Filter ◽  
Head Pose Estimation ◽  
Superior Performance ◽  
Head Pose ◽  
Large Head ◽  
Wide Range

During the past few decades, face recognition has been an active research area in pattern recognition and computer vision due to its wide range of applications. However, one of the most challenging problems encountered by face recognition is the difficulty of handling large head pose variations. Therefore, the efficient and effective head pose estimation is a critical step of face recognition. In this paper, a novel feature extraction framework, called Directional Correlation Filter Bank (DCFB), is presented for head pose estimation. Specifically, in the proposed framework, the 1-Dimensional Optimal Tradeoff Filters (1D-OTF) corresponding to different head poses are simultaneously and jointly designed in the low-dimensional linear subspace. Different from the traditional methods that heavily rely on the precise localization of the key facial feature points, our proposed framework exploits the frequency domain of the face images, which effectively captures the high-order statistics of faces. As a result, the obtained features are compact and discriminative. Experimental results on public face databases with large head pose variations show the superior performance obtained by the proposed framework on the tasks of both head pose estimation and face recognition.

Image set-based face recognition using pose estimation with facial landmarks

2020 ◽  
Vol 79 (27-28) ◽  
pp. 19493-19507
Author(s):  
Jirui Lin ◽  
Laiyuan Xiao ◽  
Tao Wu ◽  
Wenjiao Bian
Keyword(s):  
Face Recognition ◽  
Pose Estimation ◽  
Facial Landmarks ◽  
Image Set
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