@inproceedings{4b9db44877884a92b336caa01f95369f,
title = "A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders",
abstract = "For the development of complex products like vehicle components, knowledge about previous solutions is a key factor. Complete solutions or parts thereof can often be reused if a similar previous model can be identified. To gain independence from the individual experience of single engineers about previous models and a tedious search process, identifying and retrieving the most similar models from large databases offers great potential. Accordingly, this paper introduces a method to achieve this kind of shape retrieval based on engineering data. 3D geometries are represented as point clouds and reduced to one single vector with an autoencoder to identify similarities in the latent space. The method can be used in a flexible way to identify global or local similarities as well as to emphasize different parts of the structure in the similarity search. The method is evaluated on an industrial dataset containing real-world engineering data.",
keywords = "Autoencoder, Shape Retrieval, Similarity Search",
author = "Sonja Schlenz and Simon M{\"o}{\ss}ner and Ek, {Carl Henrik} and Fabian Duddeck",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0); 15th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2023 as part of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023 ; Conference date: 13-11-2023 Through 15-11-2023",
year = "2023",
doi = "10.5220/0012158700003598",
language = "English",
series = "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings",
publisher = "Science and Technology Publications, Lda",
pages = "188--195",
editor = "Ana Fred and Frans Coenen and Jorge Bernardino",
booktitle = "15th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2023 as part of IC3K 2023 - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management",
}