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...
Saved in:
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: | |
Online Access: | https://ieeexplore.ieee.org/document/10829598/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of CBCT reconstructed tooth models at different thresholds and voxels and their accuracy in fusion with IOS data: an in vitro validation study
by: Yusong Zhang, et al.
Published: (2024-12-01) -
The functional voxel algorithm for iterative composition of complex contours
by: A. A. Sycheva, et al.
Published: (2023-06-01) -
Research on spatial carving method of glutenite reservoir based on opacity voxel imaging
by: Hu Zhao, et al.
Published: (2024-06-01) -
Brain activity in different brain areas of patients with diabetic vitreous hemorrhage according to voxel-based morphometry
by: Li-Jun Ji, et al.
Published: (2025-02-01) -
Alterations of interhemispheric functional connectivity in patients with hypertensive retinopathy using voxel-mirrored homotopic connectivity: a resting state fMRI study
by: Xue-Lin Wang, et al.
Published: (2025-02-01)