文章基本信息

标题：KERNEL ELM BASED AGE ESTIMATION
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作者：Furkan GÜRPINAR ; Furkan GÜRPINAR ; Heysem KAYA 等
期刊名称：Journal of Naval Science and Engineering
印刷版ISSN：1304-2025
出版年度：2015
卷号：11
期号：3
页码：1-14
语种：English
出版社：National Defense University Barbaros Naval Sciences and Engineering Institute Journal of Naval Science and Engineering
摘要：This paper presents a framework for estimating the apparent age of a subject from their face image.To learn the age estimation model,we used a set of visual descriptors and their feature-level fusion to obtain a single feature vector for apparent age.For model learning,we used regression with Extreme Learning Machines (ELM) with Gaussian (RBF) kernels.We tested the proposed system with k-fold cross-validation on the dataset provided by ChaLearn Looking at People 2015 - Apparent Age Estimation challenge.By combining visual descriptors from multiple grids,we obtained a Mean Absolute Error (MAE) of 5.20.
关键词：Age estimation;ELM;biometrics