Enhanced local texture feature sets for face recognition under difficult lighting conditions
Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …
important challenges for practical face recognition systems. We tackle this by combining the …
Sequential three-way decision and granulation for cost-sensitive face recognition
Many previous studies on face recognition attempted to seek a precise classifier to achieve
a low misclassification error, which is based on an assumption that all misclassification costs …
a low misclassification error, which is based on an assumption that all misclassification costs …
Detecting faces in images: A survey
Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …
interaction, and research efforts in face processing include face recognition, face tracking …
Graph embedding and extensions: A general framework for dimensionality reduction
A large family of algorithms-supervised or unsupervised; stemming from statistics or
geometry theory-has been designed to provide different solutions to the problem of …
geometry theory-has been designed to provide different solutions to the problem of …
Robust structured nonnegative matrix factorization for image representation
Dimensionality reduction has attracted increasing attention, because high-dimensional data
have arisen naturally in numerous domains in recent years. As one popular dimensionality …
have arisen naturally in numerous domains in recent years. As one popular dimensionality …
Face recognition using laplacianfaces
We propose an appearance-based face recognition method called the Laplacianface
approach. By using locality preserving projections (LPP), the face images are mapped into a …
approach. By using locality preserving projections (LPP), the face images are mapped into a …
Extended SRC: Undersampled face recognition via intraclass variant dictionary
W Deng, J Hu, J Guo - IEEE Transactions on Pattern Analysis …, 2012 - ieeexplore.ieee.org
Sparse Representation-Based Classification (SRC) is a face recognition breakthrough in
recent years which has successfully addressed the recognition problem with sufficient …
recent years which has successfully addressed the recognition problem with sufficient …
[HTML][HTML] An overview on data representation learning: From traditional feature learning to recent deep learning
Since about 100 years ago, to learn the intrinsic structure of data, many representation
learning approaches have been proposed, either linear or nonlinear, either supervised or …
learning approaches have been proposed, either linear or nonlinear, either supervised or …
[PDF][PDF] Pengenalan Wajah Menggunakan Pendekatan Berbasis Pengukuran dan Metode Segmentasi dalam Berbagai Posisi dan Pencahayaan
I Kumaran, MR Firmansyah, E Fauziah… - FIDELITY: Jurnal …, 2021 - fidelity.nusaputra.ac.id
Pengenalan wajah, fitur biometrik yang penting, menghadapi banyak masalah, seperti
posisi dan variasi pencahayaan. Biasanya, citra wajah memiliki latar belakang yang …
posisi dan variasi pencahayaan. Biasanya, citra wajah memiliki latar belakang yang …
[图书][B] Handbook of face recognition
Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …
are several reasons for the growing interest in automated face recognition, including rising …