Brush2Model: Convolution surface-based brushes for 3D modelling in head-mounted display-based virtual environments

被引:8
|
作者
Zhu, Xiaoqiang [1 ]
Song, Lei [1 ]
You, Lihua [2 ]
Zhu, Mengyao [1 ]
Wang, Xiangyang [1 ]
Jin, Xiaogang [3 ]
机构
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China
[2] Bournemouth Univ, Natl Ctr Comp Animat, Poole BH12 5BB, Dorset, England
[3] Zhejiang Univ, State Key Lab CAD&CG, Hangzhou 310058, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
brush-based 3D modelling; convolution surfaces; closed-form analytical solutions; HMD-based virtual environments; IMPLICIT; KERNELS; CURVES; TREE;
D O I
10.1002/cav.1764
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Easy and efficient 3D modelling in virtual environments is an important and unsolved topic. This paper proposes a new modelling approach to tackle this issue. It invents convolution surface-based brushes to directly draw 3D models in head-mounted display-based virtual environments. In order to maximize the efficiency, flexibility, and capacity of our proposed modelling approach, we propose three different skeleton-based convolution surfaces to tackle different modelling tasks: point skeleton-based convolution surfaces for metaball shapes, line skeleton-based convolution surfaces for cylindrical shapes, and polygon skeleton-based convolution surfaces for planar surfaces. Their combination makes 3D modelling more flexible and powerful. The high efficiency is further raised by our developed closed-form solutions for point skeletons, ends of line skeletons, and edges of polygonal skeletons. Different user-friendly sweeping schemes are provided to facilitate intuitive inputs for various complex shape generation. Unlike Google's Tilt Brush, which is used to create disconnected sheet-like surfaces only, our proposed convolution surface-based brushes can produce smoothly blended manifold surfaces, and novice users can easily learn and use them to create various interesting 3D models efficiently.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] 2D clustering based discriminant analysis for 3D head model classification
    Ma, B
    Wong, HS
    PATTERN RECOGNITION, 2006, 39 (03) : 491 - 494
  • [42] Simultaneous pickup in real and virtual fields for 3D/2D convertible display based on integral imaging
    Park, JH
    Cho, SW
    Kim, J
    Lee, B
    2005 PACIFIC RIM CONFERENCE ON LASERS AND ELECTRO-OPTICS, 2005, : 116 - 117
  • [43] 3D Surface Scanning for Virtual CT-Based Electron Beam Treatment Planning in Skin Malignancies of the Head and Neck
    Harrington, D.
    Armstrong, M.
    Craft, D. F.
    Buras, M. R.
    Rong, Y.
    Patel, S. H.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 118 (05): : E66 - E66
  • [44] A cone-beam CT based technique to augment the 3D virtual skull model with a detailed dental surface
    Swennen, G. R. J.
    Mommaerts, M. Y.
    Abeloos, J.
    De Clercq, C.
    Lamoral, P.
    Neyt, N.
    Casselman, J.
    Schutyser, F.
    INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2009, 38 (01) : 48 - 57
  • [45] M-GCN: Multi-Branch Graph Convolution Network for 2D Image-based on 3D Model Retrieval
    Nie, Wei-Zhi
    Ren, Min-Jie
    Liu, An-An
    Mao, Zhendong
    Nie, Jie
    Liu, An-An (anan0422@gmail.com); Nie, Jie (niejie@ouc.edu.cn), 1962, Institute of Electrical and Electronics Engineers Inc. (23): : 1962 - 1976
  • [46] M-GCN: Multi-Branch Graph Convolution Network for 2D Image-based on 3D Model Retrieval
    Nie, Wei-Zhi
    Ren, Min-Jie
    Liu, An-An
    Mao, Zhendong
    Nie, Jie
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 23 : 1962 - 1976
  • [47] MODEL-BASED DYNAMIC 3D RECONSTRUCTION AND DISPLAY OF THE LEFT-VENTRICLE FROM 2D CROSS-SECTIONAL ECHOCARDIOGRAMS
    GUSTAVSSON, T
    PASCHER, R
    CAIDAHL, K
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1993, 17 (4-5) : 273 - 278
  • [48] Machine Learning-based GIS Model for 2D and 3D Vehicular Noise Modelling in a Data-scarce Environment
    Pradhan, Biswajeet
    Abdulkareem, Ahmed
    Aldulaimi, Ahmed
    Gite, Shilpa
    Alamri, Abdullah
    Mukhopadhyay, Subhas Chandra
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2024, 17 (01):
  • [49] A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model
    Wei, Xin-Dong
    Deng, Zhi-Qiang
    Li, Qin
    Huang, Yan
    Zhao, Gao-Feng
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2023, 47 (11) : 2027 - 2048
  • [50] A Novel 3D Geometry-Based Channel Model for Massive MIMO V2V Communication in Curved Tunnel Environments
    Li, Maotao
    Ma, Nan
    Chen, JianQiao
    Zhao, Yamao
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 1125 - 1130