A Survey : Face Recognition Under Occlusion Condition
Year: 2015
Type: conference-paper
Abstract: IndiaFace recognition is a pattern recognition task performed specifically on faces. It can be described as classifying a face either “known” or unknown, after comparing with stored known individuals. It is also desirable to have a system that has the ability of learning to recognize unknown faces. Computational models of face recognition must address several difficulat problems. This difficulty arises from the face that faces must be represented in a way that best utilizes the available face information to distinguish a particular face fro all other faces. Faces pose a particularly difficult in this respect because all faces are similar to one another in that they contain the same set of features such as eyes, nose mouth arranges in roughly the same manner. There are several types of face recogniton systems discussed in the literature. Geometry and templates, Template matching, Dynamic Deformable Templates, Independent Component Analysis, Wavelets, Gabor Fisher Classifiers, Hidden Markow Models and Neural Network. This survey will be very useful for any future scholars to work in this domain using all the collected references.
Author: Sashank Sridhar
Institution: R.V. College of Engineering
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W326307426