Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/31586

Análisis comparativo de técnicas de segmentación de estructuras reticulares


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Title:
Análisis comparativo de técnicas de segmentación de estructuras reticulares
Authors:
Soler, F. J.
Peidro, Adrian  
Fabregat Jaén, Marc
Paya, Luis  
Reinoso, Oscar
Editor:
UNIVERSIDAD DE ZARAGOZA ESCUELA DE INGENIERÍA Y ARQUITECTURA
Department:
Departamentos de la UMH::Ingeniería de Sistemas y Automática
Issue Date:
2023-09
URI:
https://hdl.handle.net/11000/31586
Abstract:
This article aims to compare our previous work on segmentation of reticular structures with neural networks against an ad hoc algorithm for the same purpose. Nowadays neural networks or artificial intelligence are widely used concepts synonymous with advances and improvements, but in certain cases it is possible to use more classical techniques, outside the paradigm of artificial intelligence to achieve the same type of tasks with similar results. To corroborate last mention, in this article we perform a quantitative and qualitative comparative analysis between an ad hoc algorithm and the best neural network model in our latest work for segmenting reticular structures. Conventional methods such as Random Sample Consensus (RANSAC) and region growing are used to implement the algorithm. Standardised metrics such as precision, recall and f1-score are used for quantitative comparison. The latter will be calculated on a proprietary dataset, consisting of a thousand point clouds automatically generated in previous work. The algorithm in question is designed specifically for such a database
Keywords/Subjects:
Region Growing
RANSAC
Plane Segmentation
Neural Networks
Point Clouds
Climbing Robots
Knowledge area:
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Type of document:
application/pdf
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.17979/spudc.9788497498609
Appears in Collections:
Artículos Ingeniería de Sistemas y Automática



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