A Deep Image Compression Framework for Face Recognition

07/03/2019
by   Nai Bian, et al.
8

Face recognition technology has advanced rapidly and has been widely used in various applications. Due to the extremely huge amount of data of face images and the large computing resources required correspondingly in large-scale face recognition tasks, there is a requirement for a face image compression approach that is highly suitable for face recognition tasks. In this paper, we propose a deep convolutional autoencoder compression network for face recognition tasks. In the compression process, deep features are extracted from the original image by the convolutional neural networks to produce a compact representation of the original image, which is then encoded and saved by existing codec such as PNG. This compact representation is utilized by the reconstruction network to generate a reconstructed image of the original one. In order to improve the face recognition accuracy when the compression framework is used in a face recognition system, we combine this compression framework with a existing face recognition network for joint optimization. We test the proposed scheme and find that after joint training, the Labeled Faces in the Wild (LFW) dataset compressed by our compression framework has higher face verification accuracy than that compressed by JPEG2000, and is much higher than that compressed by JPEG.

READ FULL TEXT

page 2

page 3

page 4

page 6

page 7

page 8

research
03/21/2016

Frankenstein: Learning Deep Face Representations using Small Data

Deep convolutional neural networks have recently proven extremely effect...
research
03/12/2015

FaceNet: A Unified Embedding for Face Recognition and Clustering

Despite significant recent advances in the field of face recognition, im...
research
06/09/2022

Reconstruct Face from Features Using GAN Generator as a Distribution Constraint

Face recognition based on the deep convolutional neural networks (CNN) s...
research
09/13/2022

Just Noticeable Difference Modeling for Face Recognition System

High-quality face images are required to guarantee the stability and rel...
research
05/14/2018

Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks

Recently, Deep Learning (DL), especially Convolutional Neural Network (C...
research
07/18/2017

One-shot Face Recognition by Promoting Underrepresented Classes

We study in this paper the problem of one-shot face recognition, with th...
research
06/28/2020

Fast Training of Deep Networks with One-Class CNNs

One-class CNNs have shown promise in novelty detection. However, very le...

Please sign up or login with your details

Forgot password? Click here to reset