DTV-CNN: Neural network based on depth and thickness views for efficient 3D shape classification

Fast and effective algorithms for deep learning on 3D shapes are keys to innovate mechanical and electronic engineering design workflow. In this paper, an efficient 3D shape to 2D images projection algorithm and a shallow 2.5D convolutional neural network architecture is proposed. A smaller convolut...

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Detalles Bibliográficos
Autor principal: Xia, Qingfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665673/
https://www.ncbi.nlm.nih.gov/pubmed/38027921
http://dx.doi.org/10.1016/j.heliyon.2023.e21515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665673/
https://www.ncbi.nlm.nih.gov/pubmed/38027921
http://dx.doi.org/10.1016/j.heliyon.2023.e21515

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