Literature DB >> 31546165

Virtual reality and integrated crime scene scanning for immersive and heterogeneous crime scene reconstruction.

Jinming Wang1, Zhengdong Li1, Wenhu Hu2, Yu Shao3, Liyang Wang4, Rongqi Wu4, Kaijun Ma4, Donghua Zou5, Yijiu Chen6.   

Abstract

Crime scene reconstruction plays a significant role in crime solving by helping to determine the course of events. Non-invasive, high-resolution measurement and increased insight are always the goal of forensic crime scene documentation. However, entire crime scenes cannot be effectively reconstructed with traditional methods. In this study, we present a portable system that consists of a laser scanner, two hand-held structured light scanners and a low-cost virtual reality (VR) headset with a mobile power supply to conduct multi-angle and omnidirectional three-dimensional spatial data collection of crime scenes. To demonstrate practical use, a real case has been analysed to verify the feasibility and effectiveness of the system. The system accurately obtains information on decedent injuries, possible injury-inflicting tools and on-site traces. Various types of evidence from the crime scene can be jointly studied by three-dimensional visualization to develop a cohesive story. The data are presented via immersive VR rather than displayed on computer screens. The relationship between evidence chains enables us to achieve a complete crime scene reconstruction, using the specialized knowledge of experts and computer-aided forensic tools to analyse the causes of damage and identify suspects. The use of three- dimensional imaging techniques allows a more insightful survey and several useful analyses, such as accurate measurement, relative blood source location determination and injury-inflicting tool comparison.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  3D scanning; Crime scene reconstruction; Forensic science; Virtual reality

Year:  2019        PMID: 31546165     DOI: 10.1016/j.forsciint.2019.109943

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


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