Abstract
Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment
Highlights
The inspiration behind automatic face recognition is to provide the computer the similar capability as human beings to recognize faces
Face recognition algorithms were evaluated on controlled face databases in which images have simple backgrounds and limited variation in pose and lighting
Example images are from XM2VTS [3], Yale[6], MultiPIE [5] and FERET [4] face databases respectively. b) Recently research has shifted to face recognition in uncontrolled environments in which images have complex backgrounds, partial occlusions and large variations in pose, lighting and race
Summary
The inspiration behind automatic face recognition is to provide the computer the similar capability as human beings to recognize faces. In the past decade’s people focused on developing fundamental face recognition algorithms [1] [2] based on controlled environments which have simple backgrounds and limited variation in pose and lighting. Face recognition algorithms were evaluated on controlled face databases in which images have simple backgrounds and limited variation in pose and lighting. B) Recently research has shifted to face recognition in uncontrolled environments in which images have complex backgrounds, partial occlusions and large variations in pose, lighting and race. An ideal face recognition algorithm should perform well in uncontrolled environments to satisfy the requirements of real-world applications. The three main challenges for face recognition in uncontrolled environments are large variation in pose, lighting and partial occlusion. What are the effective techniques for human face recognition from video in uncontrolled environment?
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