3D Mesh Deformation Technology for Generation of Virtual Garments

被引:0
|
作者
Jiang, Juan-Fen [1 ]
Zhong, Yue-Qi [1 ]
Wang, Shan-Yuan [1 ]
机构
[1] Donghua Univ, Coll Text, Shanghai 201620, Peoples R China
关键词
Virtual garment; Laplacian smooth; mean-value encoding and decoding;
D O I
10.3993/tbis2011006
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
In recent years, the area of sketch-based virtual garments generation has attracted more and more attention. In this paper, we propose a new method to develop 3D virtual garments by applying mesh deformation technology for the sketch-based approach. Compared to the traditional methods, the 3D garments, generated by our method, can be obtained easily and directly. The technology of mesh deformation in our paper involves two algorithms: Laplacian mesh editing/optimization, and mean-value geometry encoding/decoding. Given the modified positions for a set of anchor vertices, the mean-value encoding and decoding are used to transform the positions for the rest of the mesh vertices. Laplacian mesh editing and optimization are capable of improving the quality of the triangulation while preserving the shape properties of the original models. The resulting 3D garment validates the effectiveness of the proposed method.
引用
收藏
页码:25 / 30
页数:6
相关论文
共 50 条
  • [1] 3D Virtual Garments Deformation Method Based on Size-driven
    Wang, Jianping
    Wang, Ruomei
    Zhou, Fan
    [J]. 2014 5TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH), 2014, : 192 - 197
  • [2] Application of 3D Virtual Prototyping Technology to the Integration of Wearable Antennas into Fashion Garments
    Papachristou, Evridiki
    Anastassiu, Hristos T.
    [J]. TECHNOLOGIES, 2022, 10 (03)
  • [3] Customizing 3D garments based on volumetric deformation
    Li, Jituo
    Lu, Guodong
    [J]. COMPUTERS IN INDUSTRY, 2011, 62 (07) : 693 - 707
  • [4] Deformation representation based convolutional mesh autoencoder for 3D hand generation
    Zheng, Xinqian
    Jiang, Boyi
    Zhang, Juyong
    [J]. NEUROCOMPUTING, 2021, 444 : 356 - 365
  • [5] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
    Wen, Chao
    Zhang, Yinda
    Li, Zhuwen
    Fu, Yanwei
    [J]. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 1042 - 1051
  • [6] Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation
    Wang, Nanyang
    Zhang, Yinda
    Li, Zhuwen
    Fu, Yanwei
    Yu, Hang
    Liu, Wei
    Xue, Xiangyang
    Jiang, Yu-Gang
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (10) : 3600 - 3613
  • [7] Skeleton based 3D mesh deformation
    Ma Zhanguo
    Liu Bo
    Zhang Hongbin
    [J]. 2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS & SIGNAL PROCESSING, VOLS 1-4, 2007, : 721 - 725
  • [8] An Improved Texture Mapping Model Based on Mesh Parameterization in 3D Garments
    Fu, You
    Zhou, Fan
    Wang, Ruomei
    [J]. 2014 5TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH), 2014, : 180 - 184
  • [9] RELIABILITY OF AUTOMATIC 3D MESH GENERATION
    SHEPHARD, MS
    GEORGES, MK
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1992, 101 (1-3) : 443 - 462
  • [10] A scalable approach for 3D mesh generation
    Hemayed, EE
    [J]. 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL X, PROCEEDINGS: SIGNALS PROCESSING AND OPTICAL SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2003, : 25 - 30