GAN-Based Criminal Suspect Face Generator

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

doi:10.1007/978-981-19-9582-8_29

GAN-Based Criminal Suspect Face Generator

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

數據科學研究所

研究成果: Conference contribution

1 引文斯高帕斯（Scopus）

摘要

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.

原文	English
主出版物標題	New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings
編輯	Sun-Yuan Hsieh, Ling-Ju Hung, Sheng-Lung Peng, Ralf Klasing, Chia-Wei Lee
發行者	Springer Science and Business Media Deutschland GmbH
頁面	329-340
頁數	12
ISBN（列印）	9789811995811
DOIs	https://doi.org/10.1007/978-981-19-9582-8_29
出版狀態	Published - 2022
事件	25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022 - Taoyuan, Taiwan 持續時間: 2022 12月 15 → 2022 12月 17

出版系列

名字	Communications in Computer and Information Science
卷	1723 CCIS
ISSN（列印）	1865-0929
ISSN（電子）	1865-0937

Conference

Conference	25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022
國家/地區	Taiwan
城市	Taoyuan
期間	22-12-15 → 22-12-17

All Science Journal Classification (ASJC) codes

一般電腦科學
一般數學

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1007/978-981-19-9582-8_29

其它文件與鏈接

引用此

Yang, S., Zhang, J. T., Lin, C. W., & Hsu, C. C. (2022). GAN-Based Criminal Suspect Face Generator. 於 S.-Y. Hsieh, L.-J. Hung, S.-L. Peng, R. Klasing, & C.-W. Lee (編輯), New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings (頁 329-340). (Communications in Computer and Information Science; 卷 1723 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-9582-8_29

Yang, Sophia ; Zhang, Jun Teng ; Lin, Chia Wen 等. / GAN-Based Criminal Suspect Face Generator. New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings. 編輯 / Sun-Yuan Hsieh ; Ling-Ju Hung ; Sheng-Lung Peng ; Ralf Klasing ; Chia-Wei Lee. Springer Science and Business Media Deutschland GmbH, 2022. 頁 329-340 (Communications in Computer and Information Science).

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title = "GAN-Based Criminal Suspect Face Generator",

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.",

author = "Sophia Yang and Zhang, {Jun Teng} and Lin, {Chia Wen} and Hsu, {Chih Chung}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022 ; Conference date: 15-12-2022 Through 17-12-2022",

year = "2022",

doi = "10.1007/978-981-19-9582-8_29",

language = "English",

isbn = "9789811995811",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "329--340",

editor = "Sun-Yuan Hsieh and Ling-Ju Hung and Sheng-Lung Peng and Ralf Klasing and Chia-Wei Lee",

booktitle = "New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings",

address = "Germany",

}

Yang, S, Zhang, JT, Lin, CW & Hsu, CC 2022, GAN-Based Criminal Suspect Face Generator. 於 S-Y Hsieh, L-J Hung, S-L Peng, R Klasing & C-W Lee (編輯), New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings. Communications in Computer and Information Science, 卷 1723 CCIS, Springer Science and Business Media Deutschland GmbH, 頁 329-340, 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022, Taoyuan, Taiwan, 22-12-15. https://doi.org/10.1007/978-981-19-9582-8_29

GAN-Based Criminal Suspect Face Generator. / Yang, Sophia; Zhang, Jun Teng; Lin, Chia Wen 等.
New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings. 編輯 / Sun-Yuan Hsieh; Ling-Ju Hung; Sheng-Lung Peng; Ralf Klasing; Chia-Wei Lee. Springer Science and Business Media Deutschland GmbH, 2022. p. 329-340 (Communications in Computer and Information Science; 卷 1723 CCIS).

研究成果: Conference contribution

TY - GEN

T1 - GAN-Based Criminal Suspect Face Generator

AU - Yang, Sophia

AU - Zhang, Jun Teng

AU - Lin, Chia Wen

AU - Hsu, Chih Chung

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85150980514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85150980514&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-9582-8_29

DO - 10.1007/978-981-19-9582-8_29

M3 - Conference contribution

AN - SCOPUS:85150980514

SN - 9789811995811

T3 - Communications in Computer and Information Science

SP - 329

EP - 340

BT - New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings

A2 - Hsieh, Sun-Yuan

A2 - Hung, Ling-Ju

A2 - Peng, Sheng-Lung

A2 - Klasing, Ralf

A2 - Lee, Chia-Wei

PB - Springer Science and Business Media Deutschland GmbH

T2 - 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022

Y2 - 15 December 2022 through 17 December 2022

ER -

Yang S, Zhang JT, Lin CW, Hsu CC. GAN-Based Criminal Suspect Face Generator. 於 Hsieh SY, Hung LJ, Peng SL, Klasing R, Lee CW, 編輯, New Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 329-340. (Communications in Computer and Information Science). doi: 10.1007/978-981-19-9582-8_29

GAN-Based Criminal Suspect Face Generator

摘要

出版系列

Conference

All Science Journal Classification (ASJC) codes

UN SDG

存取文件

其它文件與鏈接

指紋

引用此