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Screwing assembly oriented interactive model segmentation in HMD VR environment.

Zhu, X., Song, L., Wang, N., Zhang, R., Chen, S., Wang, X., Zhu, M., You, L., Deng, Z. and Jin, X., 2019. Screwing assembly oriented interactive model segmentation in HMD VR environment. Computer Animation and Virtual Worlds, 30 (3-4), 1-14.

Full text available as:

Screwing assembly (CASA2019).pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


Official URL:

DOI: 10.1002/cav.1880


© 2019 John Wiley & Sons, Ltd. 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.

Item Type:Article
Additional Information:Funding Information: National Natural Science Foundation of China. Grant Numbers: 61402277, 61831019, 61671011, 61801255 Key Support Projects of Shanghai Science and Technology Committee. Grant Number: 16010500100 Key Research and Development Program of Zhejiang Province. Grant Number: 2018C01090
Uncontrolled Keywords:HCI; virtual reality; 3D segmentation; 3D printing
Group:Faculty of Media & Communication
ID Code:32462
Deposited By: Symplectic RT2
Deposited On:06 Aug 2019 08:34
Last Modified:14 Mar 2022 14:16


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