Recovering the polyhedral geometry of fragments

Not only is the geometry of rock fragments often well approximated by <i>ideal</i> convex polyhedra having few faces and vertices, but these numbers carry vital geophysical information on the fragmentation process. Despite their significance, the identification of the number of faces and vertices of the ideal polyhedron has so far been carried out only through visual inspection. Here, we present an algorithm capable of performing this task in a reliable manner. The input of our algorithm is a 3D scan of the fragment which is a triangulated polyhedron with very large number of faces. Our algorithm performs a systematic simplification using the following steps:•Gaussian smoothing is performed on the spherical histogram of the 3D scans faces to identify the most important face orientations.•Planes carrying the faces of the ideal polyhedron are identified and the ideal polygon is reconstructed•Small faces are removed in a systematic manner We present two versions of the algorithm that we benchmarked the algorithm against a dataset of human measurements on 132 fragments. Beyond identifying the ideal polyhedral approximation for fragments, our method is also capable of tracing backward the shape evolution of rounded pebbles to their origins.

Authors

Institutions

Publication Details

Journal
MethodsX
Published
2025-05-29
DOI
https://doi.org/10.1016/j.mex.2025.103397
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recovering the polyhedral geometry of fragments

G. Domokos, János Török
MethodsX
Image Processing and 3D Reconstruction
article

Recovering the polyhedral geometry of fragments

G. Domokos, János Török
article en

Abstract

Not only is the geometry of rock fragments often well approximated by <i>ideal</i> convex polyhedra having few faces and vertices, but these numbers carry vital geophysical information on the fragmentation process. Despite their significance, the identification of the number of faces and vertices of the ideal polyhedron has so far been carried out only through visual inspection. Here, we present an algorithm capable of performing this task in a reliable manner. The input of our algorithm is a 3D scan of the fragment which is a triangulated polyhedron with very large number of faces. Our algorithm performs a systematic simplification using the following steps:•Gaussian smoothing is performed on the spherical histogram of the 3D scans faces to identify the most important face orientations.•Planes carrying the faces of the ideal polyhedron are identified and the ideal polygon is reconstructed•Small faces are removed in a systematic manner We present two versions of the algorithm that we benchmarked the algorithm against a dataset of human measurements on 132 fragments. Beyond identifying the ideal polyhedral approximation for fragments, our method is also capable of tracing backward the shape evolution of rounded pebbles to their origins.

MethodsXVol. 14
Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 90%
Image Processing and 3D Reconstruction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Recovering the polyhedral geometry of fragments — G. Domokos, János Török · MethodsX (2025) | TGRS Research Map | TGRS