3D Face Reconstruction with Global and Local Constraints in Double spaces

被引：0
|
作者：
Han, Lihua [1 ,2 ]
Xiao, Quan [1 ,2 ,3 ]
Wang, Shoujue [1 ,2 ]
机构：
[1] Chinese Acad Sci, Suzhou Inst Nanotech & Nanobion, Suzhou, Peoples R China
[2] Chinese Acad Sci, Beijing, Peoples R China
[3] Shenzhen Wave Grp, Suzhou R&D Ctr, Suzhou, Peoples R China
来源：
PROCEEDINGS OF 2016 23RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) | 2016年
关键词：
3D face reconstruction; face shape space; face structure space; global constraint; local constraint; MORPHABLE MODEL; SINGLE IMAGE; SHAPE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we proposed a new 3D face reconstruction approach to reconstruct the 3D face from a single 2D image with arbitrary pose. The proposed approach enhanced the 3D morphable model by introducing a new local face shape constraint in another space. Then, the face can be constrained in double spaces: the global face shape space and the local face structure space. The advantages of the proposed approach are: 1) it explores the global and local constraints in the double spaces; 2) it reconstructs the 3D face from a single face image with arbitrary pose. The approach is validated on BJUT 3D face database, and the 3D facial expressions are generated on FacewareHouse and FaceScurb database.
引用
收藏
页码：78 / 82
页数：5
相关论文
共 50 条
  • [31] From Local to Holistic: Self-supervised Single Image 3D Face Reconstruction Via Multi-level Constraints
    Lu, Yawen
    Sarkis, Michel
    Bi, Ning
    Lu, Guoyu
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 8368 - 8375
  • [32] Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
    Liu, Feng
    Zhao, Qijun
    Liu, Xiaoming
    Zeng, Dan
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 42 (03) : 664 - 678
  • [33] Robust 3D Local SIFT Features for 3D Face Recognition
    Ming, Yue
    Jin, Yi
    INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2015), PT III, 2015, 9246 : 352 - 359
  • [34] 3D Face Reconstruction as Complementary Data to Enhance Face Recognition
    Biesseck, Bernardo
    Vidal, Pedro
    Granada, Roger
    Fickel, Guilherme
    Fuhr, Gustavo
    Menotti, David
    2023 36TH CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, SIBGRAPI 2023, 2023, : 61 - 66
  • [35] 3D Face Alignment and Face Reconstruction Based on Image Sequence
    Wei, Yao
    Qiao, Biao
    Wang, Huabin
    Zhang, Mengxin
    Liu, Shijun
    Tao, Liang
    Proceedings of SPIE - The International Society for Optical Engineering, 2022, 12342
  • [36] Disjoint Pose and Shape for 3D Face Reconstruction
    Kumar, Raja
    Luo, Jiahao
    Pang, Alex
    Davis, James
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, 2023, : 3107 - 3117
  • [37] 3D face reconstruction for single visual images
    Yuan, L. (principle_net@sohu.com), 1600, Wuhan University (37):
  • [38] 3D Face Reconstruction Based on a Single Photo
    Zhu, Qing
    Yao, Zhen
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMMUNICATION ENGINEERING (CSCE 2015), 2015, : 578 - 583
  • [39] Review of Research on 3D Face Reconstruction Methods
    Zhang Bin
    Li Yong
    Li Xiaoming
    Liu Dan
    Li Zihao
    Sun Ximin
    PROCEEDINGS OF THE 2024 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION TECHNOLOGY, ICIIT 2024, 2024, : 70 - 76
  • [40] 3D Face Reconstruction for Forensic Recognition - A Survey
    La Cava, Simone Maurizio
    Orru, Giulia
    Goldmann, Tomas
    Drahansky, Martin
    Marcialis, Gian Luca
    2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 930 - 937
12345