Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications

Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications

Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce high space requirements and the effect of noise in the data, point clouds are often transformed to a structured r...

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Bibliographic Details
Main Authors: Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Voxel grid
feature prediction
tree models
prediction-based encoding
key voxels
residuals
Online Access:https://ieeexplore.ieee.org/document/10829598/
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https://ieeexplore.ieee.org/document/10829598/

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