Construction and transformation method of 3D models based on the chain-type modular structure

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuxiao Zhang, Jin Wang, Dongliang Zhang, Guodong Lu, Long Chen
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引用次数: 0

Abstract

This study proposes a method of constructing and transforming three-dimensional (3D) models that can convert a 3D model into a chain-type modular configuration and realize the mutual transformation between different configurations with a straight chain as the intermediate state through standard folding steps. A method for detailed representation of voxels is proposed. Based on detailed voxels, an accelerated generation algorithm for the connection forest, which can describe the possible chain configurations, is developed. The foldability verification of the configurations and the generation of the folding operations are realized according to the folding rules. A collision detection algorithm based on encoding and projection is also introduced to detect collisions in the process of folding sequence generation. In this work, an interactive platform is established for users to calculate the input model transformation through simple operations and obtain a simulation animation of the folding operations. The experimental cases prove the effectiveness of the method in constructing and transforming the chain-type modular configurations of the input 3D models.

Abstract Image

基于链式模块结构的三维模型构建和转换方法
本研究提出了一种构建和转换三维(3D)模型的方法,可将三维模型转换为链式模块构型,并通过标准折叠步骤实现以直链为中间状态的不同构型之间的相互转换。本文提出了一种详细表示体素的方法。在详细体素的基础上,开发了连接森林的加速生成算法,该算法可以描述可能的链式构型。配置的可折叠性验证和折叠操作的生成都是根据折叠规则实现的。此外,还引入了基于编码和投影的碰撞检测算法,以检测折叠序列生成过程中的碰撞。这项工作建立了一个交互平台,用户可以通过简单的操作计算输入模型的变换,并获得折叠操作的模拟动画。实验案例证明了该方法在构建和转换输入三维模型的链式模块配置方面的有效性。
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来源期刊
Complex & Intelligent Systems
Complex & Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
9.60
自引率
10.30%
发文量
297
期刊介绍: Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.
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