Synthesis and Recognition of Internet Celebrity Face Based on Deep Learning

Jiancan Zhou, Guohang Zeng, Jia He, Xi Jia, Linlin Shen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review


The similarity among Internet Celebrity Faces brings a big challenge to the recognition and verification of faces. To study this problem, more than 20,000 Internet Celebrity Face pictures are collected from the Internet. We utilize these faces to train the Variational Auto-Encoder (VAE) to synthesize the fake Internet Celebrity Faces and compare the faces with real samples. Results show that the performance of the deep network in Internet Celebrity Face greatly decreases. 20 pairs of the same or different Internet Celebrity Faces are selected to test the human’s ability to recognize Internet Celebrity Faces by questionnaire. The comparison with the VGG deep network shows that the deep learning algorithm performs much better than human in terms of recognition accuracy.

Original languageEnglish
Title of host publicationBiometric Recognition - 12th Chinese Conference, CCBR 2017, Proceedings
EditorsYunhong Wang, Yu Qiao, Jie Zhou, Jianjiang Feng, Zhenan Sun, Zhenhua Guo, Shiguang Shan, Linlin Shen, Shiqi Yu, Yong Xu
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319699226
Publication statusPublished - 2017
Externally publishedYes
Event12th Chinese Conference on Biometric Recognition, CCBR 2017 - Beijing, China
Duration: 28 Oct 201729 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10568 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th Chinese Conference on Biometric Recognition, CCBR 2017


  • Face recognition
  • Internet Celebrity
  • Statistical analysis
  • VAE

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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