Author(s)

Yixuan Cao

Corresponding Author

Yixuan Cao

Abstract

With the constant escalation and sophistication of criminal methods, traditional criminal investigation techniques are facing increasing challenges. Based on the extraction and analysis of traces of physical evidence and biological information left at the crime scene is an important part of criminal investigation. In order to improve the efficiency and accuracy of crime scene investigation, it is necessary to conduct comprehensive analysis and intelligent reconstruction of criminal investigation traces at the crime scene with the help of advanced physical principles and intelligent technologies. This paper systematically describes the discovery, extraction and fixation techniques of trace physical evidence, and discusses the application of advanced technologies such as image edge detection technology and neural radiation field (NeRF) in crime scene reconstruction. Through the simulation of 3D reconstruction techniques for physical evidence such as footprints and shooting scenes, the crime scene can be objectively and accurately restored, providing strong evidence support for case detection and court proceedings. Meanwhile, this paper proposes a new criminal investigation technology framework integrating trace extraction, analysis and intelligent reconstruction, aiming to improve the efficiency and accuracy of crime scene investigation. The results of this study will provide an important reference for the progress and application of criminal investigation technology.

Keywords

Trace Extraction; Edge Detection; 3D Reconstruction