scholarly journals “How old are you?” : Age Estimation with Tensors of Binary Gaussian Receptive Maps

2010 ◽  
Author(s):  
John Ruiz Hernandez ◽  
James Crowley ◽  
Augustin Lux
Keyword(s):  
Age Estimation

COMPARISION OF DENTAL SCORING SYSTEM WITH RADIOGRAPHIC SKELETAL SYSTEM IN AGE ESTIMATION

JKCD ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 9-11
Author(s):  
Sadaf Ambreen
Keyword(s):  
Age Estimation ◽  
Scoring System ◽  
Skeletal Age ◽  
Chronological Age ◽  
Age Group ◽  
Dental Age ◽  
Scoring Method ◽  
Cross Sectional ◽  
Study Results ◽  
Male Subjects

Objectives: To compare Demirjian Dental scoring method with Greulich-Pyle (GP) Skeletal method of age estimation in pubertal children. Materials and Methods: Sample of the study included 267 male healthy subjects of 11-16 years of age group.. Demirjian Scoring system was utilized to evaluate the orthopantomograms to assess their Dental age and the Hand-Wrist radiographs were analyzed to calculate the skeletal age by utilizing GP atlas. Chronological age was obtained from the date of birth of the subject .Both methods were compared with one another and with the chronological age. It was a cross-sectional study and only healthy male subjects without any clinical abnormalities were included in the study. Results: A total of 267 male subjects of 11-16 years of age group were assessed by Demirjian and Greulich Pyle Methods. Both were compared with Chronological Age. Data obtained was statistically analyzed and the Student “t” test was applied in the study population. The mean difference between Chronolgical age and dental age was 0.69years and that of chronological age and skeletal age was 0.87 years. It was observed from dental age assessment that it does not differ much from the skeletal age. Conclusion: It was concluded that Demirjian method of Age Estimation is more precise than Greulich Pyle method of Age Estimation. Furthermore both methods can be used selectively in Medicolegal cases to access bone age which can be easily correlated to chronological age.

A Review of Different Techniques of Age Estimation from Human Face

2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Khemchandra Patel ◽  
Dr. Kamlesh Namdev
Keyword(s):  
Age Estimation ◽  
Real Life ◽  
Extraction Methods ◽  
Human Face ◽  
Age Changes ◽  
Missing Children ◽  
Different Types ◽  
Age Variation ◽  
Human Faces ◽  
Facial Age

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.

Complexities and considerations of human age estimation

2019 ◽  
pp. 1-15
Author(s):  
Sarah Ellingham ◽  
Joe Adserias-Garriga
Keyword(s):  
Age Estimation ◽  
Human Age Estimation

Juvenile versus adult: A new approach for age estimation from 3-dimensional analyses of the mandibular third molar apices

2019 ◽  
Vol 19 ◽  
pp. 100347 ◽  
Author(s):  
Muhammad Khan Asif ◽  
Norliza Ibrahim ◽  
Samah M. Al-Amery ◽  
Jacob John ◽  
Phrabhakaran Nambiar
Keyword(s):  
Age Estimation ◽  
Third Molar ◽  
New Approach ◽  
3 Dimensional ◽  
Mandibular Third Molar

Accuracy of the Demirjian, Willems and Nolla methods for dental age estimation in a northern Chinese population

2020 ◽  
Vol 118 ◽  
pp. 104875
Author(s):  
Meng-qi Han ◽  
Si-xuan Jia ◽  
Chen-Xu Wang ◽  
Guang Chu ◽  
Teng Chen ◽  
...  
Keyword(s):  
Age Estimation ◽  
Chinese Population ◽  
Dental Age ◽  
Dental Age Estimation ◽  
Northern Chinese ◽  
Northern Chinese Population

Age estimation by DNA methylation levels in Iraqi subjects

Gene Reports ◽  
2021 ◽  
Vol 23 ◽  
pp. 101022
Author(s):  
Hiba S.G. Al-Ghanmy ◽  
Nihad A.M. Al-Rashedi ◽  
Asaad Y. Ayied
Keyword(s):  
Dna Methylation ◽  
Age Estimation
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