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Open AccessProceedings Article

Application of modified anthropometric model in facial age estimation

Petra Koruga, +2 more
- pp 17-20
TLDR
This paper will apply anthropometric model of facial aging on pictures of 20 people at different ages of their lives to show the similarities between craniofacial morphology of people at the same age.
Abstract
Aging process affects the appearance of people in different ways One of the changes caused by aging are changes in craniofacial morphology of individuals Different models of facial aging exist and this paper will apply anthropometric model of facial aging on pictures of 20 people at different ages of their lives to show the similarities between craniofacial morphology of people at the same age FGNet database that contains two-dimensional faces of people from childhood to adulthood will be used for analysis

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Citations
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Dissertation

Web news portal content personalization using information extraction techniques and weighted Voronoi diagrams

Jurica Ševa
TL;DR: News web portals present information, in previously defined topic taxonomy, in both multimedia as well as textual format, that cover all aspects of news coverage.
Proceedings ArticleDOI

Real-Time Face Tracking Application with Embedded Facial Age Range Estimation Algorithm

TL;DR: A design of a detail and reliable framework for automatic face tracking application with embedded age range estimation algorithm which was performed with higher accuracy and also able to implement using live video input with partial occlusions, and facial small expression changes.
Book ChapterDOI

Age Estimation via Pose-Invariant 3D Face Alignment Feature in 3 Streams of CNN

TL;DR: Experiments show that the proposed scheme outperforms other state-of-the-art methods for age estimation intentionally considering the pose variation and local deformation of faces.
Proceedings ArticleDOI

Facial Age Estimation Using Convolution Neural Networks

TL;DR: In this paper, an age classification model is proposed using the mechanisms of deep age estimation in this article, which achieved better results in the prediction process with an accuracy reached 85.7% using InceptionV4.
References
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Book

Anthropometry of the head and face

TL;DR: The newest techniques are explained and the latest normative data on age-related changes in measurements (i.e., population norms) are completely examined in nearly 20 chapters and six appendices of this reference.
Journal ArticleDOI

Age Classification from Facial Images

TL;DR: The first work involving age classification, and the first work that successfully extracts and uses natural wrinkles, is also a successful demonstration that facial features are sufficient for a classification task, a finding that is important to the debate about what are appropriate representations for facial analysis.
Journal ArticleDOI

The Anatomy of the Aging Face: Volume Loss and Changes in 3-Dimensional Topography

TL;DR: Patients seeking alternatives to surgical procedures include those who require restoration of lost facial volume, those who wish to enhance normal facial features, and those who want to correct facial asymmetry.
Proceedings ArticleDOI

Age classification from facial images

TL;DR: This is the first reported work to classify age, and to successfully extract and use natural wrinkles, from facial images, based on cranio-facial changes in feature-position ratios, and on skin wrinkle analysis.
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