Skip to content

Applications of a CNN for Automatics Classification of Outsole Features

Conference/Workshop:
American Academy of Forensic Sciences Annual Scientific Meeting
Published: 2020
Primary Author: Miranda R. Tilton
Secondary Authors: Susan Vander Plas
Research Area: Footwear

After attending this presentation, attendees will be familiar with the ways that CNNs can be applied to classify forensic pattern evidence, specifically with shoe outsole features.

Related Resources

CSAFE 2021 Field Update

CSAFE 2021 Field Update

The 2021 Field Update was held June 14, 2021, and served as the closing to the first year of CSAFE 2.0. CSAFE brought together researchers, forensic science partners and interested…
Assessing Footwear Examiner Performance

Assessing Footwear Examiner Performance

This CSAFE webinar was held on May 13, 2021. Presenter: Corey Katz Graduate Researcher, University of California, Irvine Presentation Description: There has recently been increased attention on the reliability and…
Open Forensic Science in R

Open Forensic Science in R

This book is for anyone looking to do forensic science analysis in a data-driven and open way. Whether you are a student, teacher, or scientist, this book is for you. We take…
Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of…