Face identification under uncontrolled environment with LGFSV face representation technique

Face Recognition in Uncontrolled Environment

This paper presents a novel method of facial image representation for face recognition in uncontrolled environment. It is named as augmented local binary patterns (A-LBP) that works on both, uniform and non-uniform patterns. It replaces the central non-uniform pattern with a majority value of the neighbouring uniform patterns obtained after processing all neighbouring non-uniform patterns. Thes...

Review on Sparse based Face Recognition Methods in Uncontrolled Environment

Face recognition has been found to be the minimally invasive method among the available biometric identification schemes. It aims to identify or verify a person’s identity by matching input face image against the faces in a database. It is one of the important research areas due to its large practical applications. Most of the systems could well handle the images captured under controlled situa...

Individual Discriminative Subspace for Face Recognition under Uncontrolled Conditions

Most face recognition (FR) algorithms require the face images to satisfy certain restrictions in various aspects like view angle, illumination, occlusion, etc. But what is needed in general is the techniques that can recognize any face images recognizable by human beings. This paper provides one potential solution to this problem. A method named Individual Discriminative Subspace (IDS) is propo...

Face recognition's grand challenge: uncontrolled conditions under control

Face recognition in uncontrolled environments

This thesis concerns face recognition in uncontrolled environments in which the images used for training and test are collected from the real world instead of laboratories. Compared with controlled environments, images from uncontrolled environments contain more variation in pose, lighting, expression, occlusion, background, image quality, scale, and makeup. Therefore, face recognition in uncon...