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Article Information:
INFACE and EPOCH Database: A Benchmark for Face Recognition inUncontrolled Conditions
M. Parisa Beham and S. Md. Mansoor Roomi
Corresponding Author: M. Parisa Beham
Submitted: June 11, 2014
Accepted: July 13, 2014
Published: August 15, 2014 |
Abstract:
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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. “INFACE” and “EPOCH”, which can effectively contribute to the face recognition research, in general and suited to the Indian setting (appearance, expressions, etc.) in particular. The former data base (“INFACE”), includes around 7400 face images of 37 individuals collected from approximately 45 Indian movies. The images of later data base (“EPOCH”) portray the variations with age. It contains 1000 images of 10 individuals spanning four age groups. The data base specimens of INFACE have high degree of variability (in scale, location, orientation, pose, expression, illumination, appearance and degree of occlusion) which one could ever see in natural world. EPOCH database is providing a large set of unconstrained face images which includes age variance of an individual. In addition to the individuality of the face, these databases provide additional information on pose, gender, expression, location etc. Specific annotations for each image have been stored as XML for easy retrieval. These databases will be made public to catalyze research and development for accurate face recognition.
Key words: Aging database, expression variation, face annotation, face detection, movie database, pose invariant,
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Cite this Reference:
M. Parisa Beham and S. Md. Mansoor Roomi, . INFACE and EPOCH Database: A Benchmark for Face Recognition inUncontrolled Conditions. Research Journal of Applied Sciences, Engineering and Technology, (6): 795-802.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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