TY - GEN
T1 - Hierarchical Aggregation Based Deep Aging Feature for Age Prediction
AU - Qiu, Jiayan
AU - Dai, Yuchao
AU - Zhang, Yuhang
AU - Alvarez, Jose M.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - We propose a new, hierarchical, aggregation-based deep neural network to learn aging features from facial images. Our deep-Aging feature vector is designed to capture both local and global aging cues from facial images. A Convolutional Neural Network (CNN) is employed to extract region-specific features at the lowest level of our hierarchy. These features are then hierarchically aggregated to consecutive higher levels and the resultant aging feature vector, of dimensionality 110, achieves both good discriminative ability and efficiency. Experimental results of age prediction on the MORPH-II databases show that our method outperforms state-of-The-Art aging features by a clear margin. Experimental trails of our method across race and gender provide further confidence in its performance and robustness.
AB - We propose a new, hierarchical, aggregation-based deep neural network to learn aging features from facial images. Our deep-Aging feature vector is designed to capture both local and global aging cues from facial images. A Convolutional Neural Network (CNN) is employed to extract region-specific features at the lowest level of our hierarchy. These features are then hierarchically aggregated to consecutive higher levels and the resultant aging feature vector, of dimensionality 110, achieves both good discriminative ability and efficiency. Experimental results of age prediction on the MORPH-II databases show that our method outperforms state-of-The-Art aging features by a clear margin. Experimental trails of our method across race and gender provide further confidence in its performance and robustness.
UR - https://www.scopus.com/pages/publications/84963646027
U2 - 10.1109/DICTA.2015.7371264
DO - 10.1109/DICTA.2015.7371264
M3 - 会议稿件
AN - SCOPUS:84963646027
T3 - 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015
BT - 2015 International Conference on Digital Image Computing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015
Y2 - 23 November 2015 through 25 November 2015
ER -