@inproceedings{97d4d9573a4d4aaeae390930f863a89e,
title = "Simplification of Continuous Chains in 3D CAD Models for Industrial AR Applications",
abstract = "The use of Augmented Reality (AR) devices like HoloLens has gained significant acceptance for training assembly line operators in various industries. When employing Computer-Aided Design (CAD) models to create assembly line instructions for training purposes, preserving all redundant information becomes unnecessary. Utilizing simplified CAD models leads to improved run-time performance of the applications in which they are employed. This paper introduces a novel solution to simplify CAD models by identifying continuous chains within the CAD model, with the help of deep learning techniques. The proposed method makes it possible to suppress such features that do not impede visualization when removed.",
keywords = "Augmented reality (AR), Continuous chains, Deep learning, Simplified CAD Models",
author = "Arige, \{Abhaya Dhathri\} and Marius Preda and Titus Zaharia",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th IEEE International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2023 ; Conference date: 26-10-2023 Through 28-10-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.1109/ICCP60212.2023.10398677",
language = "English",
series = "Proceedings - 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "171--176",
editor = "Sergiu Nedevschi and Rodica Potolea and Slavescu, \{Radu Razvan\}",
booktitle = "Proceedings - 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2023",
}