Locality-constrained feature space learning for cross-resolution sketch-photo face recognition

被引:0
|
作者
Guangwei Gao
Yannan Wang
Pu Huang
Heyou Chang
Huimin Lu
Dong Yue
机构
[1] Nanjing University of Posts and Telecommunications,Institute of Advanced Technology
[2] Soochow University,Provincial Key Laboratory for Computer Information Processing Technology
[3] Nanjing University of Posts and Telecommunications,School of Automation
[4] Nanjing XiaoZhuang University,Key Laboratory of Trusted Cloud Computing and Big Data Analysis
[5] Kyushu Institute of Technology,Department of Mechanical and Control Engineering
来源
Multimedia Tools and Applications | 2020年 / 79卷
关键词
Face recognition; Cross-resolution; Locality-constrained; Feature learning;
D O I
暂无
中图分类号
学科分类号
摘要
Matching sketch facial images to mug-shot images have crucial significance in law enforcement and digital entertainment. Conventional methods always assume that both the sketch and photo face images have the same resolutions. However, in real criminal detection, the target facial sketches obtained by the artist usually have different resolutions against the source photos in the mug-shot database. In this paper, we propose a locality-constrained feature space learning (LCFSL) method to address the above cross-resolution sketch-photo facial images matching problem. The proposed LCFSL approach not only build bridge to associate cross-domain face images, but also can learn resolution robust representation features for cross-resolution sketch-photo face recognition purpose. After common feature space learning, we simply use nearest neighbor classifier to perform recognition based on the projected features obtained from sketch-photo faces with different resolutions. Experiments conducted on CUHK student database and AR database have shown the effectiveness and superiority of our method to some state-of-the-art face recognition approaches.
引用
收藏
页码:14903 / 14917
页数:14
相关论文
共 50 条
  • [1] Locality-constrained feature space learning for cross-resolution sketch-photo face recognition
    Gao, Guangwei
    Wang, Yannan
    Huang, Pu
    Chang, Heyou
    Lu, Huimin
    Yue, Dong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (21-22) : 14903 - 14917
  • [2] Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression
    Gao, Guangwei
    Yu, Yi
    Yang, Meng
    Chang, Heyou
    Huang, Pu
    Yue, Dong
    INFORMATION SCIENCES, 2020, 506 : 19 - 36
  • [3] Feature-based Sketch-Photo Matching for Face Recognition
    Dalal, Sahil
    Vishwakarma, Virendra P.
    Kumar, Sanchit
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 562 - 570
  • [4] Face Sketch-Photo Synthesis and Recognition
    Mitravinda, K. M.
    Chandana, M.
    Chandra, Monisha
    Shukoor, Shaazin Sheikh
    Mamatha, H. R.
    THIRD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND CAPSULE NETWORKS (ICIPCN 2022), 2022, 514 : 78 - 95
  • [5] Related Work in Face Sketch-Photo Recognition
    不详
    IEEE INTELLIGENT SYSTEMS, 2016, 31 (03) : 31 - 31
  • [6] Cross-resolution learning for Face Recognition
    Massoli, Fabio Valerio
    Amato, Giuseppe
    Falchi, Fabrizio
    IMAGE AND VISION COMPUTING, 2020, 99
  • [7] Learning locality-constrained collaborative representation for robust face recognition
    Peng, Xi
    Zhang, Lei
    Yi, Zhang
    Tan, Kok Kiong
    PATTERN RECOGNITION, 2014, 47 (09) : 2794 - 2806
  • [8] Fast Face Sketch-Photo Image Synthesis and Recognition
    Chen, Zhenxue
    Wang, Kaifang
    Liu, Chengyun
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2016, 30 (10)
  • [9] Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation
    Yu, Shikang
    Han, Hu
    Shan, Shiguang
    Dantcheva, Antitza
    Chen, Xilin
    2019 14TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2019), 2019, : 32 - 39
  • [10] Attributes and Semantic Constrained GAN for Face Sketch-Photo Synthesis
    Zheng, Jieying
    Li, Haoxian
    Liu, Feng
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 127 - 131