Abstract

The main focus of our study is to build a database of labeled face images display with wide variations in pose, lighting, appearance and age. Recognizing human faces amid natural setting is emerging as a critically important and technically challenging computer vision problem. Most of the previous cases of analysis to study the specific variations of the face recognition problem focused on recognition of faces captured under controlled environment in standard laboratory setting. These variations include position, pose, lighting, background, camera quality and gender. But in real environment, there are innumerable applications in which there is little or no control over such variations. In this study, we introduce two novel database viz.

Keywords:

Aging database, expression variation , face annotation , face detection, movie database , pose invariant,

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Competing interests

The authors have no competing interests.

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