@inproceedings{8f0f1c0a86324f0682c8bfaa62d6d40b,
title = "Age estimation via pose-invariant 3D face alignment feature in 3 streams of CNN",
abstract = "This paper proposes an algorithm for age estimation intentionally considering the pose variation and local deformation of faces. Pose-invariant patches are extracted in face region, and they are located from the landmarks{\textquoteright} neighborhood in 2D image coordinate. The landmarks can be regarded as the projections of the points on 3D face model, and the projection parameters are estimated by Convolution Neural Network (CNN). Two different structures of CNN are designed for age estimation task. One way is to stack individual patch in the spatial domain, and the stacked image is given to a CNN to make the estimation. The second is to design CNN for each particular patch and CNNs for different patches do not share weights. Together with another CNN trained on the original face region, the three streams for age estimation are combined by late fusion of the output layer. Experiments show that the proposed scheme outperforms other state-of-the-art methods.",
author = "Li Sun and Song Qiu and Qingli Li and Hongying Liu and Mei Zhou",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 18th Pacific-Rim Conference on Multimedia, PCM 2017 ; Conference date: 28-09-2017 Through 29-09-2017",
year = "2018",
doi = "10.1007/978-3-319-77380-3\_17",
language = "英语",
isbn = "9783319773797",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "172--183",
editor = "Bing Zeng and Hongliang Li and \{El Saddik\}, Abdulmotaleb and Xiaopeng Fan and Shuqiang Jiang and Qingming Huang",
booktitle = "Advances in Multimedia Information Processing {\textendash} PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers",
address = "德国",
}