A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches

A. A. M. Muzahid
A. A. M. Muzahid
Li Hou
Li Hou

Computational Intelligence and Neuroscience, pp. 1-17, 2020.

Cited by: 0|Bibtex|Views3|DOI:https://doi.org/10.1155/2020/5851465
Other Links: academic.microsoft.com

Abstract:

The advancement of low-cost RGB-D and LiDAR three-dimensional (3D) sensors has permitted the obtainment of the 3D model easier in real-time. However, making intricate 3D features is crucial for the advancement of 3D object classifications. The existing volumetric voxel-based CNN approaches have achieved remarkable progress, but they gener...More

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