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2010

A Semi-Supervised Approach to Perceived Age Prediction from Face Images

7 years 8 months ago
A Semi-Supervised Approach to Perceived Age Prediction from Face Images
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient active learning strategy for reducing the cost of labeling face samples. Given a large number of unlabeled face samples, we reveal the cluster structure of the data and propose to label cluster-representative samples for covering as many clusters as possible. This simple sampling strategy allows us to boost the performance of a manifold-based semi-supervised learning method only with a relatively small number of labeled samples. The second contribution is to take the heterogeneous characteristics of human age perception into account. It is rare to misjudge the age of a 5-year-old child as 15 years old, but the age of a 35-year-old person is often misjudged as 45 years old. Thus, magnitude of the error is different depending on subjects’ age. We carried out a large-scale questionnaire survey for quantifying hu...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where IEICET
Authors Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
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