Combining Facial Dynamics With Appearance for Age Estimation

Dibeklioğlu, Hamdi; Alnajar, Fares; Salah, Albert Ali; Gevers, Theo

doi:10.1109/tip.2015.2412377

Cited by 100 publications

(78 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A learning-based encoding was proposed by Alnajar et al in [83] showing that an image encoding based on the learning feedback can improve the overall estimation accuracy. One of the most recent works exploited the information derived from the dynamic of facial landmarks in video sequences [84].…”

Section: Agementioning

confidence: 99%

A study on different experimental configurations for age, race, and gender estimation problems

Carcagnì

Coco

Cazzato

et al. 2015

J Image Video Proc.

View full text Add to dashboard Cite

This paper presents a detailed study about different algorithmic configurations for estimating soft biometric traits. In particular, a recently introduced common framework is the starting point of the study: it includes an initial facial detection, the subsequent facial traits description, the data reduction step, and the final classification step. The algorithmic configurations are featured by different descriptors and different strategies to build the training dataset and to scale the data in input to the classifier. Experimental proofs have been carried out on both publicly available datasets and image sequences specifically acquired in order to evaluate the performance even under real-world conditions, i.e., in the presence of scaling and rotation.

show abstract

Section: Agementioning

confidence: 99%

A study on different experimental configurations for age, race, and gender estimation problems

Carcagnì

Coco

Cazzato

et al. 2015

J Image Video Proc.

View full text Add to dashboard Cite

show abstract

“…Clinically, these have been illustrated by standardized photographic atlases, allowing their changes to be graded under various conditions or social consequences (age, ethnicity, emotions, appearance, psycho-social impacts, etc.) [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

A new procedure, free from human assessment, that automatically grades some facial skin signs in men from selfie pictures. Application to changes induced by a severe aerial chronic urban pollution

Zhang¹,

Jiang²,

Kezele³

et al. 2020

Intern J of Cosmetic Sci

View full text Add to dashboard Cite

Objective These were two folds: at first, to develop an automatic grading system specifically dedicated to some facial signs of men, similar to the one previously validated on women of different ethnic ancestry and second, to assess its potential in detecting and grading the possible impacts of a severe aerial urban pollution on some facial signs of Chinese men. Methods In both studies, selfie images were obtained from differently aged men. Nine facial signs were automatically graded through a specific A.I‐based algorithm and clinically assessed by a panel of experts and dermatologists. Selfie pictures were taken from individual smartphones of variable optical properties. The first study, designed for developing an automatic grading system, involved three comparable cohorts of men from three different regional ancestries (African, Asian, Caucasian, 110 each) the selfie images of which were acquired under four different lighting conditions. As a second use case study, the facial signs of two cohorts of Chinese men (101 and 100, each), differently aged, regularly exposed to very different aerial urban pollution conditions (UP) were analysed by the same algorithm, selfies being taken under only one lighting condition. Results ‐The new automatic grading system of facial signs suits well to men, showing comparable results than that the one dedicated to women and provides data in close agreement with experts’ assessments. ‐In both cases (expert’s or automatic methodology), the accuracy of the scores appeared ethnic‐dependent. ‐The applied case confirmed previous results obtained clinically, that is, that many facial signs were found of an increased severity among men exposed to a severe urban pollution, as compared to those living in a less polluted city. ‐In both studies, statistical agreements between the automatic grading system and expert’s assessments were reached. In some facial signs, the automatic grading system seems offering a slightly better accuracy than the assessments made by the experts. Conclusion Apart from some minor limitations, this A.I‐based automatic grading system, free from human intervention, performed as well as the one previously developed in women, in close agreement with expert’s assessments. In epidemiological studies, this system offers an easy, fast, affordable and confidential approach in the detection and quantification of male facial signs.

show abstract

“…Hamdi, Fares, Albert, and Theo [6] proposed an age estimation scheme in which a mesh model is fitted to face using 17 fiducial points, and tracked during the rest of the video. The surface deformations are computed using the tracked mesh points.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Survey on Age Estimation Techniques

Soman¹,

Austine²

2017

IJCA

View full text Add to dashboard Cite

Age is an important trait used for identity authentication. The factors that affect aging process include a person's gene, health, living style etc. Age Estimation is predicting a person's age. Out of these, face is the most convenient one. Age Estimation has lots of real-world applications, such as security control, biometrics, customer relationship management, entertainment and cosmetology. In this paper, we compare some of the techniques used in the age estimation based on face images. The most commonly used database is FG-NET. The most commonly used age estimation method is regression based because it takes into account the interrelationship among the age values. Age Estimation via Grouping and Decision Fusion provides minimum MAE, 2.81 for FG-NET and 2.97 for MORPH II.

show abstract

Combining Facial Dynamics With Appearance for Age Estimation

Cited by 100 publications

References 41 publications

A study on different experimental configurations for age, race, and gender estimation problems

A study on different experimental configurations for age, race, and gender estimation problems

A new procedure, free from human assessment, that automatically grades some facial skin signs in men from selfie pictures. Application to changes induced by a severe aerial chronic urban pollution

A Survey on Age Estimation Techniques

Contact Info

Product

Resources

About