A Bayesian Approach to Adult Human Age Estimation from Dental Observations by Johanson's Age Changes

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. This paper is a review of age variation methods and techniques, which is useful to capture wanted fugitives, finding missing children, updating employee databases, enhance powerful visual effect in film, television, gaming field. Currently there are many different methods available for age variation. Each has their own advantages and purpose. Because of its real life applications, researchers have shown great interest in automatic facial age estimation. In this paper, different age variation methods with their prospects are reviewed. This paper highlights latest methodologies and feature extraction methods used by researchers to estimate age. Different types of classifiers used in this domain have also been discussed.

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Complexities and considerations of human age estimation

Age Estimation ◽

10.1016/b978-0-12-814491-6.00001-7 ◽

2019 ◽

pp. 1-15

Author(s):

Sarah Ellingham ◽

Joe Adserias-Garriga

Keyword(s):

Age Estimation ◽

Human Age Estimation

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Accurate age estimation in small-scale societies

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1619583114 ◽

2017 ◽

Vol 114 (31) ◽

pp. 8205-8210 ◽

Cited By ~ 8

Author(s):

Yoan Diekmann ◽

Daniel Smith ◽

Pascale Gerbault ◽

Mark Dyble ◽

Abigail E. Page ◽

...

Keyword(s):

Life History ◽

Bayesian Approach ◽

Age Estimation ◽

Human Life ◽

The Philippines ◽

Monte Carlo Algorithm ◽

Small Scale ◽

Hunter Gatherers ◽

Cultural Life ◽

Ranking Order

Precise estimation of age is essential in evolutionary anthropology, especially to infer population age structures and understand the evolution of human life history diversity. However, in small-scale societies, such as hunter-gatherer populations, time is often not referred to in calendar years, and accurate age estimation remains a challenge. We address this issue by proposing a Bayesian approach that accounts for age uncertainty inherent to fieldwork data. We developed a Gibbs sampling Markov chain Monte Carlo algorithm that produces posterior distributions of ages for each individual, based on a ranking order of individuals from youngest to oldest and age ranges for each individual. We first validate our method on 65 Agta foragers from the Philippines with known ages, and show that our method generates age estimations that are superior to previously published regression-based approaches. We then use data on 587 Agta collected during recent fieldwork to demonstrate how multiple partial age ranks coming from multiple camps of hunter-gatherers can be integrated. Finally, we exemplify how the distributions generated by our method can be used to estimate important demographic parameters in small-scale societies: here, age-specific fertility patterns. Our flexible Bayesian approach will be especially useful to improve cross-cultural life history datasets for small-scale societies for which reliable age records are difficult to acquire.

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Human age estimation using enhanced bio-inspired features (EBIF)

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5651440 ◽

2010 ◽

Cited By ~ 12

Author(s):

Mohamed Y. El Dib ◽

Motaz El-Saban

Keyword(s):

Age Estimation ◽

Human Age Estimation

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Age estimation in adult human sound and periodontally affected teeth using tooth cementum annulations

Tanta Dental Journal ◽

10.1016/j.tdj.2015.07.002 ◽

2015 ◽

Vol 12 (4) ◽

pp. 277-285 ◽

Cited By ~ 3

Author(s):

W.Y. Alghonamy ◽

O.M. Gaballah ◽

D.A. Labah

Keyword(s):

Age Estimation ◽

Adult Human

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A Bayesian approach to age estimation of marine terraces and implications for the history of the great Kanto earthquakes, central Japan

Quaternary Science Reviews ◽

10.1016/j.quascirev.2021.107217 ◽

2021 ◽

Vol 272 ◽

pp. 107217

Author(s):

Junki Komori ◽

Masanobu Shishikura ◽

Ryosuke Ando ◽

Yusuke Yokoyama ◽

Yosuke Miyairi

Keyword(s):

Bayesian Approach ◽

Age Estimation ◽

Central Japan ◽

Marine Terraces ◽

History Of

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Methods and markers used for human age estimation in forensics

Issues of Forensic Science ◽

10.34836/pk.2016.294.7 ◽

2016 ◽

Vol 294 ◽

pp. 105-109

Author(s):

Anna Woźniak ◽

Keyword(s):

Biological Material ◽

Age Estimation ◽

Prediction Error ◽

Estimation Techniques ◽

New Methods ◽

Human Age Estimation

The article presents the previous and current methods and markers used for estimation of human age. The analysis of biological material recovered from the scene of the event makes it possible to estimate the age of a person who deposited traces. The new methods allow determining the depositor’s age, based on biological traces commonly found at the scene, such as blood, saliva or sperm, with an accuracy of a few years. The previously used age estimation techniques required larger quantities of biological material, whereas their prediction error amounted to even several decades.

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