Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Face Recognition with Deeply Normalized Depth Images   Depth information has been proven useful for face recognition. However,
existing depth-image-based face recognition methods still suffer from noisy
depth values and varying poses and expressions. In this paper, we propose a
novel method for normalizing facial depth images to frontal pose and neutral
expression and extracting robust features from the normalized depth images. The
method is implemented via two deep convolutional neural networks (DCNN),
normalization network ($Net_{N}$) and feature extraction network ($Net_{F}$).
Given a facial depth image, $Net_{N}$ first converts it to an HHA image, from
which the 3D face is reconstructed via a DCNN. $Net_{N}$ then generates a
pose-and-expression normalized (PEN) depth image from the reconstructed 3D
face. The PEN depth image is finally passed to $Net_{F}$, which extracts a
robust feature representation via another DCNN for face recognition. Our
preliminary evaluation results demonstrate the superiority of the proposed
method in recognizing faces of arbitrary poses and expressions with depth
images.

31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol