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Activity Number: 528 - Contributed Poster Presentations: Section on Statistics in Imaging
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Imaging
Abstract #307257
Title: Repeatability and Reproducibility of Automated Bullet Comparisons Using High-Resolution 3D Scans
Author(s): Kiegan Rice* and Heike Hofmann and Ulrike Genschel
Companies: Iowa State University and Iowa State University and Iowa State University
Keywords: high-resolution 3D microscopy; forensic evidence; bullets
Abstract:

In the past several decades, high-resolution 3D microscopy has been applied to the field of forensic science, particularly in the field of firearms analysis. 3D scans of bullet lands have been used to develop automated comparison methods to determine whether two bullets were fired through the same gun barrel. These automated approaches aim to reduce the amount of human intervention and increase the level of objectivity in the analysis of forensic evidence. It is therefore important to study the impact of human involvement in the 3D scanning process. A repeatability and reproducibility study to evaluate sources of variability was completed in order to address this issue. Scans were captured using multiple operators, microscopes, and bullets. This presentation will present results from the study, addressing the observed differences on the raw 3D objects as well as the impact on accuracy of an automated matching algorithm.


Authors who are presenting talks have a * after their name.

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