Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data

In this study, we introduce a novel application of the Smooth Overlap of Atomic Positions (SOAP) descriptor for pixel-wise image feature extraction and classification as a benchmark for SOAP point cloud feature extraction, using MNIST handwritten digits as a benchmark. By converting 2D images into 3...

Full description

Saved in:
Bibliographic Details
Main Authors: Eiaki V. Morooka, Yuto Omae, Mika Hämäläinen, Hirotaka Takahashi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:AppliedMath
Subjects:
Online Access:https://www.mdpi.com/2673-9909/5/2/72
Tags: Add Tag
No Tags, Be the first to tag this record!