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Human Age Estimation Through Face Synthesis : A Survey

Sreejit Panicker*, Smita Selot**, Manisha Sharma***

* Associate Professor, Shri Shankaracharya Technical Campus, Bhilai, Chattishgarh, India.

** Professor, Shri Shankaracharya Technical Campus, Bhilai, Chattishgarh, India.

*** Professor, Bhilai Institute of Technology, Bhilai, Chattishgarh, India.

Periodicity:June - August'2014
DOI : https://doi.org/10.26634/jpr.1.2.2922

Abstract

Human age prediction is useful for many applications. The age information could be used as a kind of semantic knowledge for analysis and understanding of various application domains. The facial image analysis for classifying human age has a vital role in image processing, pattern recognition, computer vision, cognitive science, and Forensic science. Age Specific Human Computer Interaction (ASHCI) has enormous prospects in daily life applications. However, more research has to be done on age estimation techniques. One of the main reasons is that, aging effects on human faces present several unique characteristics which make age estimation a challenging task. In this paper, we give a thorough analysis on the problem of facial aging in context to various approaches and summary of contributions in age estimation. We offer a comparative analysis of various approaches that have been proposed for facial feature extraction and facial aging.

Keywords

Age Estimation, Facial Aging, Aging Database, Facial Feature Extraction.

How to Cite this Article?

Panicker, S., Selot, S., and Sharma, M. (2014). Human Age Estimation Through Face Synthesis : A Survey. i-manager’s Journal on Pattern Recognition, 1(2), 1-6. https://doi.org/10.26634/jpr.1.2.2922

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