Overview
- Introduces the core concepts of bloodstain pattern analysis in crime scene investigation
- Bridges the gap between new research results and real-life crime scene investigation in bloodstain pattern analysis
- Presents two different scenarios to highlight the research results/findings
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Forensic and Medical Bioinformatics (BRIEFSFOMEBI)
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Table of contents (5 chapters)
Keywords
About this book
This book introduces the core concepts of bloodstain pattern analysis that help to understand and make independent contributions to crime scenes accurately. It presents a bridge between new research results and the practical work field of crime scene investigation in bloodstain pattern analysis, by showing and detailing reports of two different scenarios. The scenarios presented have an extensive description of gathered evidence and are diversified with real crime scene photography and sketches. This kind of case report is rare in scientific books, but the author, as a researcher, has permission from the authorities to present the cases. The book finally concludes with the main problems of modern bloodstain pattern analysis and discusses the way forward.
Authors and Affiliations
About the author
Kacper Choromanski is a forensic expert working in the area of bloodstain pattern analysis for crime scene investigation. He works as a scientist and lecturer at Faculty of Law, and at the Centre for Forensic & Investigative Sciences, University of Warsaw, Poland. His research interests are in the area of forensic science, bioinformatics and bloodstain pattern recognition.
Bibliographic Information
Book Title: Bloodstain Pattern Analysis in Crime Scenarios
Authors: Kacper Choromanski
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-33-4428-0
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-33-4427-3Published: 13 December 2020
eBook ISBN: 978-981-33-4428-0Published: 12 December 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: X, 65
Number of Illustrations: 1 b/w illustrations, 28 illustrations in colour
Topics: Security Science and Technology, Forensic Science, Signal, Image and Speech Processing, Bioinformatics, Computer Imaging, Vision, Pattern Recognition and Graphics