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有關 Robust Representations for unconstrained Face Recognition and its Applications. 的學術文章 | |
Unconstrained face recognition - Zhou - 95 個引述 Face recognition in unconstrained environment - Kocjan - 16 個引述 Face recognition in unconstrained conditions: A … - Shepley - 10 個引述 |
ROBUST REPRESENTATIONS FOR UNCONSTRAINED ...
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由 JC Chen 著作2016 — In this dissertation, we present several approaches to extract robust feature representation from a set of images/video frames for face identification and ...
robust representations for unconstrained face recognition ...
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Experiments show that the representation is effective for the unconstrained ... dimensional dense facial landmark features and its application to face ...
Robust Representation for Face Recognition in the Wild
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The problem of isometry-invariant representation and comparison of surfaces is of cardinal importance in pattern recognition applications dealing with ...
[PDF] Unconstrained face verification using fisher vectors ...
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An algorithm for unconstrained face verification using Fisher vectors computed from frontalized off-frontal gallery and probe faces using the Labeled Faces ...
Robust representations for face recognition: the power of ...
Bond University
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由 AM Burton 著作2005被引用 389 次 — PCA of images has become a popular technique in understanding face processing, both for engineering, and psychological applications. Originally conceived for ...
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Robust Representation for Face Recognition in the Wild
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2021年6月2日 — Research in face recognition deals with problems related to Age, Pose, Illumination and. Expression (A-PIE), and seeks approaches that are ...
Robust Facial Representation for Recognition
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One of the main challenges in face recognition lies in robust represen- tation of facial images in unconstrained real-world environment, where.
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Robust Face Recognition
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Robust face recognition is the task of performing recognition in an unconstrained environment, where there is variation of view-point, scale, pose, ...
Face Recognition in Unconstrained Conditions
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由 AJ Shepley 著作2019被引用 10 次 — It highlights open issues for future research and investigation, in light of the increasing importance of face recognition in computer vision and the expanding ...
"Unconstrained Face Recognition" by Rajesh Gopakumar
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由 R Gopakumar 著作2022 — The power of Deep Convolutional Neural Networks (DCNN) makes it possible to produce robust deep representations to detect faces more accurately from videos than ...
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