Although different approaches of segmenting and assembling geometric models for 3D printing have been proposed, it is difficult to find any research studies, which investigate model segmentation and assembly in head‐mounted display (HMD) virtual reality (VR) environments for 3D printing. In this work, we propose a novel and interactive segmentation method for screwing assembly in the environments to tackle this problem. Our approach divides a large model into semantic parts with a screwing interface for repeated tight assembly. Specifically, after a user places the cutting interface, our algorithm computes the bounding box of the current part automatically for subsequent multicomponent semantic Boolean segmentations. Afterwards, the bolt is positioned with an improved K3M image thinning algorithm and is used for merging paired components with union and subtraction Boolean operations respectively. Moreover, we introduce a swept Boolean‐based rotation collision detection and location method to guarantee a collision‐free screwing assembly. Experiments show that our approach provides a new interactive multicomponent semantic segmentation tool that supports not only repeated installation and disassembly but also tight and aligned assembly.

中文翻译：

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HMD VR环境下面向螺纹装配的交互式模型分割

尽管已经提出了用于 3D 打印的分割和组装几何模型的不同方法，但很难找到任何研究来研究用于 3D 打印的头戴式显示器 (HMD) 虚拟现实 (VR) 环境中的模型分割和组装。在这项工作中，我们提出了一种新颖的交互式分割方法，用于在环境中拧紧装配来解决这个问题。我们的方法将一个大型模型划分为具有螺纹接口的语义部分，用于重复紧密组装。具体来说，在用户放置切割界面后，我们的算法会自动计算当前零件的边界框，用于后续的多分量语义布尔分割。然后，螺栓使用改进的 K3M 图像细化算法定位，用于合并配对组件，分别使用并集和减法布尔运算。此外，我们引入了一种基于扫描布尔的旋转碰撞检测和定位方法，以保证无碰撞的螺纹装配。实验表明，我们的方法提供了一种新的交互式多组件语义分割工具，不仅支持重复安装和拆卸，而且支持紧密对齐的组装。