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Footwear

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

February 21, 2020 / /
Footwear examiners are tasked with comparing an outsole impression (Q) left at a crime scene with an impression (K) from a database or from the suspect’s shoe. We propose a
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Statistical Learning Algorithms for Forensic Scientists

February 17, 2020 / /
The goals of this workshop are to: (1) introduce attendees to the basics of supervised learning algorithms in the context of forensic applications, including firearms and footwear examination and trace
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Similarity between outsole impressions using SURF

February 17, 2020 / /
The learning objectives of this presentation include the following: Introduce an objective method to quantify the similarity between two outsole impressions, show that this algorithm is accurate and reliable even
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Applications of a CNN for Automatics Classification of Outsole Features

February 17, 2020 / /
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.
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An Overview of CSAFE’s Publically Available Datasets

October 29, 2019 / / ,
Forensic scientists and researchers can now directly implement CSAFE data into their laboratory work. CSAFE forensic databases are publically available and can be utilized to test current analysis techniques, design
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A convolutional neural network for outsole recognition

September 9, 2019 / /
A common goal of forensic shoeprint analysis is to identify shoe models or designs that are similar to that of a given print, such as a print found at a
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Pattern Evidence Research in CSAFE-An Update

August 22, 2019 / / , , , ,
CSAFE is a NIST Center of Excellence in Forensic Science. A large portion of CSAFE’s research portfolio is on what is known as pattern evidence, which encompasses any evidence that
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A semi-automated algorithm to quantify similarity between outsole impressions using SURF

August 13, 2019 / /
Footwear examiners are tasked with comparing an outsole impression (Q) left at a crime scene with an impression (K) from a database or from the suspect’s shoe. We propose semi-automated
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A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence

June 12, 2019 / /
When a latent shoeprint is discovered at a crime scene, forensic analysts inspect it for distinctive patterns of wear such as scratches and holes (known as accidentals) on the source
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Similarity of Two-Dimensional Images: An application to the forensic comparison of shoe outsole impressions

March 13, 2019 / /
This CSAFE Center Wide webinar was presented on March 11, 2019 by Dr. Soyoung Park, CSAFE Post Doctoral researcher at Iowa State University. Dr. Park has provided presentation slides.  
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