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Footwear

Assessing Footwear Examiner Performance

May 17, 2021 / /
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
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Open Forensic Science in R

October 20, 2020 / /
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
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Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

June 11, 2020 / /
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
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Quantifying the similarity of 2D images using edge pixels: An application to the forensic comparison of footwear impressions

June 11, 2020 / /
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
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A database of two-dimensional images of footwear outsole impressions

June 7, 2020 / /
Footwear outsole images were obtained from 150 pairs of used shoes. The motivation for constructing the database was to enable a statistical analysis of two-dimensional (2D) images of shoe outsoles,
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CSAFE 2020 All Hands Meeting

May 19, 2020 / / , , , , , , , ,
The 2020 All Hands Meeting was held May 12 and 13, 2020 and served as the closing to the last 5 years of CSAFE research and focused on kicking off
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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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