Feasibility of Neural Radiance Fields for Crime Scene Video Reconstruction
This addresses the problem of crime scene reconstruction for forensic investigators, but it is incremental as it reviews existing NeRF variations without presenting new results.
The paper reviewed the feasibility of using Neural Radiance Fields (NeRF) models to reconstruct crime scenes from video input, analyzing innovations like Multi-object Synthesis, Deformable Synthesis, and Lighting against crime scene reconstruction requirements.
This paper aims to review and determine the feasibility of using variations of NeRF models in order to reconstruct crime scenes given input videos of the scene. We focus on three main innovations of NeRF when it comes to reconstructing crime scenes: Multi-object Synthesis, Deformable Synthesis, and Lighting. From there, we analyse its innovation progress against the requirements to be met in order to be able to reconstruct crime scenes with given videos of such scenes.