A Robust Approach to Automatically Locating Grooves in 3D Bullet Land Scans

Author:

Rice Kiegan12,Genschel Ulrike12,Hofmann Heike12

Affiliation:

1. Department of Statistics Iowa State University 2438 Osborn Dr. Ames IA50011‐1090

2. Center for Statistics and Applications in Forensic Evidence (CSAFE)195 Durham Center 613 Morrill Road Ames IA50011

Funder

Center for Statistics and Applications in Forensic Evidence

Publisher

Wiley

Subject

Genetics,Pathology and Forensic Medicine

Reference14 articles.

1. Theory of identification as it relates to toolmarks;Glossary AFTE;AFTE J,1998

2. Building a unified statistical framework for the forensic identification of source problems

3. Surface topology of bullet striations: an innovating technique;De Kinder J;AFTE J,1998

4. Automated comparisons of bullet striations based on 3D topography

5. Development of a 3D-based Automated Firearms Evidence Comparison System

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1. Identification of bullets fired from air guns using machine and deep learning methods;Forensic Science International;2023-08

2. Interpol review of forensic firearm examination 2019–2022;Forensic Science International: Synergy;2023

3. A Probabilistic Formalisation of Contextual Bias: from Forensic Analysis to Systemic Bias in the Criminal Justice System;Journal of the Royal Statistical Society Series A: Statistics in Society;2022-11-16

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