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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...
Autor principal: | Xia, Qingfeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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