Generating Face Images Based on 3D Morphable Model

被引:0
|
作者
Sopiak, Dominik [1 ]
Oravec, Milos [1 ]
Pavlovicova, Jarmila [1 ]
Bukovcikova, Zuzana [1 ]
Dittingerova, Monika [1 ]
Bil'anska, Alexandra [1 ]
Novotna, Maria [1 ]
Gontkovic, Jozef [1 ]
机构
[1] Slovak Univ Technol Bratislava, Fac Elect Engn & Informat Technol, Bratislava, Bratislava, Slovakia
关键词
biometrics; face recognition; morphable model;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In modern days the demand for biometrics increases rapidly. The world still needs to solve many problems and answer to lot of questions regarding to biometrics for creating better solutions for recognition and verification of objects. Biometrics has become really important topic of our security. Number of input samples per person affects recognition in modern algorithms used for face recognition. We can say that single-sample problem is one of the most challenging problems in face recognition. Most of face recognition algorithms requires at least two samples per person but it is very important to create a system where only one sample per person would achieve a good performance. This topic is especially related to passport and id photos because they include only one picture of person. In this paper, we explain process of reconstruction and generating 3D face model created from id or passport photo. We also present our results that shows influence of generated new samples on face recognition.
引用
收藏
页码:58 / 62
页数:5
相关论文
共 50 条
  • [41] ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
    Zheng, Mingwu
    Yang, Hongyu
    Huang, Di
    Chen, Liming
    [J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 20311 - 20320
  • [42] Face identification across different poses and illuminations with a 3D morphable model
    Blanz, V
    Romdhani, S
    Vetter, T
    [J]. FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS, 2002, : 202 - 207
  • [43] A lighting robust fitting approach of 3D morphable model for face reconstruction
    Mingyang Ma
    Silong Peng
    Xiyuan Hu
    [J]. The Visual Computer, 2016, 32 : 1223 - 1238
  • [44] Building a 3D morphable face model by using thin plate splines for face reconstruction
    Guo, H
    Jiang, JY
    Zhang, LM
    [J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2004, 3338 : 258 - 267
  • [45] Pose Invariant Face Recognition with 3D Morphable Model and Neural Network
    Choi, Hyun-Chul
    Kim, Sam-Yong
    Oh, Sang-Hoon
    Oh, Se-Young
    Cho, Sun-Young
    [J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 4131 - +
  • [46] Emotion information visualization through learning of 3D morphable face model
    Jin, Hai
    Wang, Xun
    Lian, Yuanfeng
    Hua, Jing
    [J]. VISUAL COMPUTER, 2019, 35 (04): : 535 - 548
  • [47] Dictionary Learning based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose
    Ferrari, Claudio
    Lisanti, Giuseppe
    Berretti, Stefano
    Del Bimbo, Alberto
    [J]. 2015 INTERNATIONAL CONFERENCE ON 3D VISION, 2015, : 509 - 517
  • [48] 3D facial caricaturing based on Sparse Morphable Model
    Shu, Guang
    Yao, Li-Xiu
    Yang, Xiao-Chao
    Zuo, Xin
    Yang, Jie
    [J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2010, 38 (08): : 1798 - 1802
  • [49] Combining 3D Morphable Models: A Large scale Face-and-Head Model
    Ploumpis, Stylianos
    Wang, Haoyang
    Pears, Nick
    Smith, William A. P.
    Zafeiriou, Stefanos
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 10926 - 10935
  • [50] 3D morphable model parameter estimation
    Faggian, Nathan
    Paplinski, Andrew P.
    Sherrah, Jamie
    [J]. AI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4304 : 519 - +