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Footwear

Computational Shoeprint Analysis for Forensic Science

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

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

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

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

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

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

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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A Semi-Automatic Tool for Footwear Impression Alignment

We introduce a semi-automatic alignment tool tailored for two similar footwear impressions. The term “semi-automatic” is used because the alignment process is primarily automated, yet users have the flexibility to
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Shoeprint Alignment and Comparison using Maximum Cliques

This presentation is from the 107th International Association for Identification (IAI) Annual Educational Conference, National Harbor, Maryland, August 20-26, 2023. Posted with permission of CSAFE.
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An algorithm for source identification of footwear impressions—its application on pristine shoeprints and crime-scene like shoeprints

This presentation is from the 107th International Association for Identification (IAI) Annual Educational Conference, National Harbor, Maryland, August 20-26, 2023. Posted with permission of CSAFE.
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