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Footwear

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
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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
Read More

A database of two-dimensional images of footwear outsole impressions

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

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

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

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

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

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

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

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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