Multi-lighting 3D face morphable model based on mesh resampling

被引:0
|
作者
Hu, YL [1 ]
Yin, BC [1 ]
Sun, YF [1 ]
机构
[1] Beijing Univ Technol, Multimedia & Intelligent Software Technol Lab, Beijing 100022, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work describes a multi-lighting 3D face morphable model based on mesh resampling. Despite having realistic results and modeling automatically in 3D face synthesis, the morphable model depends on the unstable optical flow algorithm for model construction, and the model matching is not fitting for complex illumination. To improve modeling results, the mesh resampling method is used to overcome the key problem of model construction, the pixel-to-pixel alignments of prototypic faces. A multi-lighting model is also proposed to evaluate the illumination of the input facial image. The experimental results show these measurements have good performance.
引用
收藏
页码:1121 / 1124
页数:4
相关论文
共 50 条
  • [41] 3D Face Morphable Models "In-the-Wild"
    Booth, James
    Antonakos, Epameinondas
    Ploumpis, Stylianos
    Trigeorgis, George
    Panagakis, Yannis
    Zafeiriou, Stefanos
    [J]. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 5464 - 5473
  • [42] Emotion information visualization through learning of 3D morphable face model
    Hai Jin
    Xun Wang
    Yuanfeng Lian
    Jing Hua
    [J]. The Visual Computer, 2019, 35 : 535 - 548
  • [43] Rapid 3D face reconstruction by fusion of SFS and Local Morphable Model
    Liao, Hai-bin
    Chen, Qing-hu
    Zhou, Qian-jin
    Guo, Lin
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2012, 23 (06) : 924 - 931
  • [44] Towards High-fidelity Nonlinear 3D Face Morphable Model
    Tran, Luan
    Liu, Feng
    Liu, Xiaoming
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 1126 - 1135
  • [45] 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
  • [46] 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
  • [47] 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
  • [48] 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 - +
  • [49] 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
  • [50] 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