Proceedings ArticleDOI
Estimating Human Age by Manifold Analysis of Face Pictures and Regression on Aging Features
Yun Fu,Ye Xu,Thomas S. Huang +2 more
- pp 1383-1386
TLDR
Through manifold analysis of face pictures, a novel age estimation framework is developed to find a sufficient embedding space and model the low-dimensional manifold data with a multiple linear regression function.Abstract:
Extensive recent studies on human faces reveal significant potential applications of automatic age estimation via face image analysis. Due to the temporal features of age progression, aging face images display sequential pattern of low-dimensional distribution. Through manifold analysis of face pictures, we developed a novel age estimation framework. The manifold learning methods are applied to find a sufficient embedding space and model the low-dimensional manifold data with a multiple linear regression function. Experimental results on a large size age database demonstrate the effectiveness of the framework. To our best knowledge, this is the first work involving the manifold ways of age estimation.read more
Citations
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Journal ArticleDOI
Age Synthesis and Estimation via Faces: A Survey
TL;DR: The complete state-of-the-art techniques in the face image-based age synthesis and estimation topics are surveyed, including existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are provided.
Journal ArticleDOI
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
TL;DR: The age manifold learning scheme for extracting face aging features is introduced and a locally adjusted robust regressor for learning and prediction of human ages is designed, which improves the age estimation accuracy significantly over all previous methods.
Proceedings ArticleDOI
Human age estimation using bio-inspired features
TL;DR: This work investigates the biologically inspired features (BIF) for human age estimation from faces with significant improvements in age estimation accuracy over the state-of-the-art methods and proposes a new operator “STD” to encode the aging subtlety on faces.
Proceedings ArticleDOI
AgeDB: The First Manually Collected, In-the-Wild Age Database
Stylianos Moschoglou,Athanasios Papaioannou,Christos Sagonas,Jiankang Deng,Irene Kotsia,Stefanos Zafeiriou +5 more
TL;DR: This paper presents the first, to the best of knowledge, manually collected "in-the-wild" age database, dubbed AgeDB, containing images annotated with accurate to the year, noise-free labels, which renders AgeDB suitable when performing experiments on age-invariant face verification, age estimation and face age progression "in the wild".
Journal ArticleDOI
Facial Age Estimation by Learning from Label Distributions
Xin Geng,Chao Yin,Zhi-Hua Zhou +2 more
TL;DR: Li et al. as mentioned in this paper proposed a label distribution approach for facial age estimation, which covers a certain number of class labels, representing the degree that each label describes the instance, and two algorithms, named IIS-LLD and CPNN, are proposed to learn from such label distributions.
References
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