Partial Face Recognition: A Survey

被引：1
|
作者：
Shafin, Mohammad [1 ]
Hansda, Rojina [1 ]
Pallavi, Ekta [1 ]
Kumar, Deo [1 ]
Bhattacharyya, Sumanta [1 ]
Kumar, Sanjeev [1 ]
机构：
[1] Cambridge Inst Technol, Dept ECE, Ranchi, Jharkhand, India
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON ADVANCED INFORMATICS FOR COMPUTING RESEARCH (ICAICR '19) | 2019年
关键词：
Artificial Neural Networks (ANN); CNN (Convolution Neural Network); Linear Discriminant Analysis (LDA); Principal Component Analysis (PCA); Support vector machine (SVM);
D O I：
10.1145/3339311.3339343
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Face recognition is an ever-growing, challenging and interesting area for the real-time application, such as security, image enhancement or image data recording. A large number of the face recognition algorithm are introduced in the last several decades for all kind of purposes, Including recognizing the occluded faces also known as Partial Face Recognition. In this paper, the author covered all the major techniques and methods (PCA, LDA, SVM, ANN) used for recognition the partial faces lying in different scenarios such as poor illumination pose variations, occlusion on faces, etc. For the effective result, there are various face databases available. These databases are also mentioned in this paper for a better understanding of face image properties and condition. The paper also introduced some of the recent advancement in the partial Face recognition field by covering topics such as CNN and DEEP learning.
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页数：6
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