An algorithm to compare two‐dimensional footwear outsole images using maximum cliques and speeded‐up robust feature

DOI10.1002/sam.11449OpenAlexW3008896417WikidataQ90671714 ScholiaQ90671714MaRDI QIDQ4970321

Alicia L. Carriquiry, So Young Park

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11449

zbMATH Keywords

machine learningmaximum cliqueforensic scienceimage comparisonSURF

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

shoeprintr

Uses Software

• R
• SIFT
• SURF
• KAZE Features

Cites Work

• Learning algorithms to evaluate forensic glass evidence
• Random forests

This page was built for publication: An algorithm to compare two‐dimensional footwear outsole images using maximum cliques and speeded‐up robust feature