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Deep Learning Based Human Age Estimation
Başlık:
Deep Learning Based Human Age Estimation
Yazar:
Chen, Shixing, author.
ISBN:
9780438017429
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (39 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Ming Dong Committee members: Suzan Arslanturk; Ming Dong; Fengwei Zhang.
Özet:
Age is considered an important biometric trait for humans. Although there has been a growing interest in automatic age estimation based on a facial image, extracting robust aging features remains a challenging problem. Recent research shows that the aging patterns deeply learned from large-scale data lead to significant performance improvement. However, the insight about why and how deep learning models achieved superior performance is inadequate. In this paper, we propose to analyze, visualize and understand the deep aging patterns. We first train a series of convolutional neural network models for age estimation, and then illustrate the learning outcomes using feature maps, activation histograms, and deconvolution techniques. We also develop a visualization method that can compare the facial appearance and track its changes at different ages through the mapping between 2D images and a 3D face template. Our framework provides an innovative way to understand human facial aging process from a machine perspective.
Notlar:
School code: 0254
Konu Başlığı:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(689472.1) | 689472-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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