Kernel ELM and CNN based Facial Age Estimation
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Dosyalar
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose outputs are then fused for the final estimate. We use a deformable parts model based face detector, and features from a pre-trained deep convolutional network. Kernel extreme learning machines are used for classification. We evaluate our system on the ChaLearn Looking at People 2016 - Apparent Age Estimation challenge dataset, and report 0.3740 normal score on the sequestered test set.
Açıklama
29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) -- JUN 26-JUL 01, 2016 -- Las Vegas, NV
Anahtar Kelimeler
Recognition, Regression
Kaynak
Proceedings of 29th Ieee Conference on Computer Vision and Pattern Recognition Workshops, (Cvprw 2016)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
