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

Zhu, X., Song, L., You, L.H., Zhu, M., Wang, X. and Jin, X., 2017. Brush2Model: Convolution surface-based brushes for 3D modelling in head-mounted display-based virtual environments. Computer Animation & Virtual Worlds, 28 (3-4), e1764.

Full text available as:

CASA_2019_paper_15.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1002/cav.1764


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.

Item Type:Article
Additional Information:National Natural Science Foundation of China. Grant Numbers: 61402277, 61373084 Innovation Program of Shanghai Municipal Education Commission. Grant Number: 15ZZ044 Open Project Program of the State Key Lab of CAD&CG. Grant Number: 1507 the National Natural Science Foundation of China. Grant Number: 61472351
Uncontrolled Keywords:brush‐based 3D modelling; convolution surfaces; closed‐form analytical solutions; HMD‐based virtual environments
Group:Faculty of Media & Communication
ID Code:33099
Deposited By: Symplectic RT2
Deposited On:02 Dec 2019 16:29
Last Modified:14 Mar 2022 14:18


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