Facial Aging Databases, Techniques and Effects of Aging: A Survey

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-10
Year of Publication : 2019
Authors : Mohammed Abdul Waheed , Ibtesaam Sanam
  10.14445/22315381/IJETT-V67I10P202

MLA 

MLA Style: Mohammed Abdul Waheed , Ibtesaam Sanam  "Facial Aging Databases, Techniques and Effects of Aging: A Survey" International Journal of Engineering Trends and Technology 67.10 (2019):8-13.

APA Style: Mohammed Abdul Waheed , Ibtesaam Sanam. Facial Aging Databases, Techniques and Effects of Aging: A Survey International Journal of Engineering Trends and Technology, 67(10),8-13.

Abstract
The facial aging databases promises results are shown on face recognition researches. Nevertheless, face recognition and retrieval across age remains tough and is still challenging. Facial aging represents the accumulation of changes over time Cross-Age Reference Coding (CARC) and a brand new big-scale dataset for face recognition and retrieval throughout age called Cross-Age Celebrity Dataset (CARD). One of the challenges in computerized face recognition is to achieve temporal invariance. In this Paper, we present a comprehensive evaluation of literature on cross age face recognition starting with the biological consequences of aging , it provides a survey of techniques, effects of aging on overall performance evaluation and facial aging databases. Evaluation of the impact of aging on the performance of age-invariant face recognition system is an vital measurement. We also study a 3D aging modelling technique for Face Recognition. It also presents a unique and efficient facial image representation primarily based on Local Binary Pattern (LBP) texture features.

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Keywords
Face Recognition, Age invariant face recognition, 3D aging, Facial aging, Local binary pattern.