Autoencoders Based on 2D Convolution Implemented for Reconstruction Point Clouds from Line Laser Sensors

Gradual development is moving from standard visual content in the form of 2D data to the area of 3D data, such as points scanned by laser sensors on various surfaces. An effort in the field of autoencoders is to reconstruct the input data based on a trained neural network. For 3D data, this task is...

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Detalles Bibliográficos
Autores principales: Klarák, Jaromír, Klačková, Ivana, Andok, Robert, Hricko, Jaroslav, Bulej, Vladimír, Tsai, Hung-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221328/
https://www.ncbi.nlm.nih.gov/pubmed/37430687
http://dx.doi.org/10.3390/s23104772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221328/
https://www.ncbi.nlm.nih.gov/pubmed/37430687
http://dx.doi.org/10.3390/s23104772

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