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,
Evaluating the Reliability of Randomly Acquired Characteristics (RACs) Identification in Footwear Impression Evidence
Presented at American Association of Forensic Sciences (AAFS) 2021
Footwear Research in CSAFE
This presentation provided an overview of CSAFE’s footwear research and was presented at IAI in 2021
The effect of image descriptors on the performance of classifiers of footwear outsole image pairs
Shoe prints are commonly found at the scene of a crime and can sometimes help link a suspect to the scene. Because prints tend to be partially observed or smudgy,
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
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
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