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.
Applications of a CNN for Automatics Classification of Outsole Features
Conference/Workshop:
American Academy of Forensic Sciences Annual Scientific Meeting
American Academy of Forensic Sciences Annual Scientific Meeting
Published: 2020
Primary Author: Miranda R. Tilton
Secondary Authors: Susan Vander Plas
Type: Presentation Slides
Research Area: Footwear
Related Resources
A New Algorithm for Source Identification of Look-alike Footwear Impressions Based on Automatic Alignment
Presentation at the International Association for Identification
Center for Statistics and Application in Forensic Evidence Update
The information below highlights a sample of current research initiatives led by the CSAFE team. Additional accomplishments in other forensic science disciplines will be discussed in subsequent issues of Forensic…
Automatic Class Characteristic Recognition in Shoe Tread Images
One of the fundamental problems in footwear forensics is that the distribution of class characteristics in the local population is not currently knowable. Surveillance devices for gathering this data are…
Modeling And iNventory of Tread Impression System (MANTIS): The development, deployment and application of an active footwear data collection system
This CSAFE webinar was held on March 24, 2022. Presenters: Dr. Richard Stone Iowa State University Dr. Susan Vanderplas University of Nebraska, Lincoln Presentation Description: This webinar details the development,…