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Footwear

Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System

July 10, 2025 / , / ,
There currently are no shoe-scanning devices developed in the United States that can operate in a real-world, variable-weather environment in real-time. Forensics-focused groups, including the NIJ, expressed the need for
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A Quantitative Approach for Forensic Footwear Quality Assessment using Machine and Deep Learning

June 12, 2025 / / ,
Forensic footwear impressions play a crucial role in criminal investigations, assisting in possible suspect identification. The quality of an impression collected from a crime scene directly impacts the forensic information
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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence

June 12, 2025 / / ,
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical.
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Computational Shoeprint Analysis for Forensic Science

November 25, 2024 / /
Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases
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Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence

November 18, 2024 / / , , ,
When a crime is committed, law enforcement directs crime scene experts to obtain evidence that may be pertinent to identifying the perpetrator(s). Much of this evidence comes in the form
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Aligning Shoeprint Images that have nonlinear distortion effects

November 18, 2024 / / ,
Shoeprints are aligned before assessing similarity, and automatic alignment algorithms can handle differences in translation, rotation [1], and scale. But shoeprints recorded at a crime scene may be partials photographed
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Graph-Theoretic Techniques for Forensic Image Comparisons

July 8, 2024 / / ,
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
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ShoeCase: A data set of mock crime scene footwear impressions

July 3, 2024 / /
This project’s main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The Center for Statistics and Applications in Forensic Evidence (CSAFE)
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A finely tuned deep transfer learning algorithm to compare outsole images

July 3, 2024 / /
In forensic practice, evaluating shoeprint evidence is challenging because the differences between images of two different outsoles can be subtle. In this paper, we propose a deep transfer learning-based matching
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics

July 3, 2024 / /
We introduce an algorithmic approach designed to compare similar shoeprint images, with automated alignment. Our method employs the Iterative Closest Points (ICP) algorithm to attain optimal alignment, further enhancing precision
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