GAN-Based Criminal Suspect Face Generator

Sophia Yang, Jun Teng Zhang, Chia Wen Lin, Chih Chung Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a criminal suspect face generator based on GANs to replace the problematic process of traditional criminal investigation. The proposed method consists of two crucial components: DCGAN for feature-based face generation, and StyleGAN for feature-guided face manipulation. The proposed framework addresses several practical problems of criminal investigation by first generating a face based on a feature and then transferring the face to different features or expressions for unlimited times in an objective and efficient way. Preliminary experimental results are promising to address the problems of crime investigations in real scenarios.

Original languageEnglish
Title of host publicationNew Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings
EditorsSun-Yuan Hsieh, Ling-Ju Hung, Sheng-Lung Peng, Ralf Klasing, Chia-Wei Lee
PublisherSpringer Science and Business Media Deutschland GmbH
Pages329-340
Number of pages12
ISBN (Print)9789811995811
DOIs
Publication statusPublished - 2022
Event25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022 - Taoyuan, Taiwan
Duration: 2022 Dec 152022 Dec 17

Publication series

NameCommunications in Computer and Information Science
Volume1723 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022
Country/TerritoryTaiwan
CityTaoyuan
Period22-12-1522-12-17

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'GAN-Based Criminal Suspect Face Generator'. Together they form a unique fingerprint.

Cite this