In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 3
955-960

Deep simulation of suspect hairstyles under influence of multiple factors

Liu Yaohui1
Sun Peng1,2
Lang Yubo1
Shen Zhe3
Sun Deting4
Song Qiang5
1. Public Security Information Technology & Information, Criminal Investigation Police University of China, Shenyang 110854, China
2. Key Laboratory of Forensic Expertise, Judiciary, Shanghai 200063, China
3. Civil Aviation College, Shenyang Aerospace University, Shenyang 110135, China
4. Criminal Investigation Detachment, Dalian Public Security Bureau, Dalian Liaoning 116000, China
5. Video Detection Lab, Liaoning Provincial Public Security Dept. , Shenyang 110032, China
DOI: 10.19734/j.issn.1001-3695.2024.04.0215

Abstract

The age, disguise, and other combined factors significantly affect the uncertainty of the appearance, hairstyle, and other physical characteristics of suspects in unsolved murder cases. To address this problem, this paper proposed a dual style transfer generative adversarial network(DstGAN) to simulate changes in human facial hairstyles. Firstly, it designed a dual StyleGAN generator, leveraging a facial aging model to combine aging information with hairstyle changes, thereby enhancing the realism of simulated hairstyles under the influence of objective factors. Secondly, it introduced the BiSeNET algorithm to perform semantic segmentation on the input image and its target hairstyle, obtaining a semantic map of the target image. In the FS latent space, it employed the cross-entropy loss function to constrain the semantic map generated by the GAN inverse mapping to align with the simulated semantic map, preventing unnatural fusion. Finally, to further expand the types of hairstyle changes, it edited the hairstyle vector in the RM latent space by modifying the semantic attributes contained in the input hairstyle, achieving the simulation of special hairstyles such as bald heads. Compared to some classical hairstyle change models, DstGAN more effectively ensured the consistency of facial identity features and achieved a smoother transition between the hairstyle and facial edges. Additionally, DstGAN achieves the most outstanding objective scores in PSNR, SSIM, and other indicator evaluations compared to classical hairstyle change models, indicating that DstGAN produces simulated images with higher image clarity, better perceptual quality, and more realistic skin textures.

Foundation Support

国家自然科学基金资助项目(61307016)
公安部科技计划资助项目(2021YY3)
国家级大学生创新创业项目(202110175015)
辽宁省研究生教育教学改革研究资助项目(LNYJG2023317)
司法部司法鉴定重点实验室开放课题(KF202317)
“新时代犯罪治理研究中心”智库项目(20220207)
公安学科基础理论研究创新计划资助项目(2024XKGJ0107)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0215
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 3
Section: Technology of Graphic & Image
Pages: 955-960
Serial Number: 1001-3695(2025)03-041-0955-06

Publish History

[2025-03-05] Printed Article

Cite This Article

刘耀晖, 孙鹏, 郎宇博, 等. 复合因素影响下嫌疑人发型变化的深度模拟 [J]. 计算机应用研究, 2025, 42 (3): 955-960. (Liu Yaohui, Sun Peng, Lang Yubo, et al. Deep simulation of suspect hairstyles under influence of multiple factors [J]. Application Research of Computers, 2025, 42 (3): 955-960. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)