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One of the well-known problems of the face recognition is occlusion. Occlusion in an image refers to hindrance in the view of an object. The article aims to give a detailed survey of the face recognition under occlusion. Human face recognition under occlusion is broadly classified into 8 categories Karhunen-Loeve Expansion Method, Model Based Method, Correlation Based Method, Template Based Method,...
With increase in age, there are changes in skeletal structure, muscles mass, and body fat. For recognizing faces with age variations, researches have generally focused on the skeletal structure and body mass. We incorporate weight information to improve the performance of face recognition with age variation which utilizes neural network and random decision forest to encode age variation. This age...
Illumination variation is one of the well-known and challenging problems known for face recognition. A lot of studies have been explored to reduce the effect caused by varying illumination. We have analysed the latest state of art technique and have divided into two categories. One based on Singular Value Decomposition (SVD), Resonance and Local Binary Pattern (LBP) techniques. And the second based...
Facial expression is a way of non-verbal communication. A person depicts his/her feelings through facial expressions. In computer systems facial expressions help in verification, identification and authentication. One popular use of facial expression recognition is automatic feedback capture from customers upon reacting to a particular product. Effective recognition technology is in high demand by...
Face recognition has achieved immense popularity in various fields because of its robustness and accuracy. But pose variation is still a major obstacle to overcome for effective face recognition in an uncontrolled environment. A wide variety of face recognition algorithms have been proposed in the past. In this paper we exhibit a review of some of the common algorithms that expect to conquer on the...
In real life, images obtained from video cameras or scanners are usually exposed to different levels of noises and blurring effects. In this paper we propose a new robust score level fusion technique to recognize faces in the presence of noise and blurring effects. The Proposed Score Level Fusion Technique (PSLFT) is obtained by using combinatory approach and Z-Score normalization using the scores...
Face recognition has been an intensely researched field of computer vision for the past couple of decades. Though significant strides have been made in tackling the problem in controlled domains, significant challenges remain in solving it in the unconstrained domain. Two such scenarios are while recognizing faces acquired from distant cameras and when images are corrupted. The main factors that make...
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