Analysis of Edge Length Distribution of Crypto-Compressed 3D Objects

In order to remain format compliant, cryptocompression of 3D objects is a very smart solution to guarantee both a high compression rate and a very high level of security. In this article, we present the analysis of a crypto-compression method based on the Draco format proposed by Google. The proposed analysis consists to analyze the distribution of edge lengths of crypto-compressed 3D objects as a function of the number of bits encrypted for each vertex. Experimental results, based on the Kolmogorov-Smirnov test, show that 5-bit encryption per vertex coordinate achieves an optimal trade-off between security and compression efficiency.

Authors

Institutions

Publication Details

Published
2025-10-13
DOI
https://doi.org/10.1109/euvip66349.2025.11238645
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Edge Length Distribution of Crypto-Compressed 3D Objects

Jean-Pierre Pedeboy, William Puech, Khélian Larvet
Chaos-based Image/Signal Encryption
article

Analysis of Edge Length Distribution of Crypto-Compressed 3D Objects

Jean-Pierre Pedeboy, William Puech, Khélian Larvet
article en

Abstract

In order to remain format compliant, cryptocompression of 3D objects is a very smart solution to guarantee both a high compression rate and a very high level of security. In this article, we present the analysis of a crypto-compression method based on the Draco format proposed by Google. The proposed analysis consists to analyze the distribution of edge lengths of crypto-compressed 3D objects as a function of the number of bits encrypted for each vertex. Experimental results, based on the Kolmogorov-Smirnov test, show that 5-bit encryption per vertex coordinate achieves an optimal trade-off between security and compression efficiency.

Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
Openalex Percentile: Top 64%
Chaos-based Image/Signal Encryption
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.