Paper Info
Title
Crime Scene Reconstruction with RGB-D Sensors
Abstract
Photographic surveying, a fundamental procedure in crime investigation, is typically performed using 2D cameras. Although useful, such cameras remain limited due to the lack of depth information. In this work, we propose a 3D reconstruction solution that leverages the advantages of cheap RGB-D sensors to create a 3D model of the crime scene and to provide the investigator with an interactive crime scenario simulation environment. A structure from motion approach is proposed in order to align the captured point clouds on each other using 3D key points. An iterative refinement and a global optimization algorithm are later adapted for the optimization of the registered 3D model, which is then triangulated before the underlying surface is reconstructed. The resulting model is used for interactive crime investigation and object dynamics simulation. The obtained results show the elrectiveness of our solution with a visually appealing rendering, an accurate simulation and a quantitative error of less than 18cm for the 4m × 4m indoor scene. An accompanying video is provided in order to illustrate the processing pipeline <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .
Year
DOI
Venue
2019
10.15439/2019F225
2019 Federated Conference on Computer Science and Information Systems (FedCSIS)
Keywords
Field
DocType
Crime scene modeling,3D registration,RGB-D sensors,Forensic computing,Interactive investigation
Structure from motion,Iterative refinement,Data mining,Computer vision,Crime scene,Computer science,Triangulation,Artificial intelligence,RGB color model,Point cloud,Rendering (computer graphics),3D reconstruction
Conference
ISSN
ISBN
Citations 
2325-0348
978-1-5386-8005-6
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Abdenour Amamra101.01
Yacine Amara200.68
Khalid Boumaza300.34
Aissa Benayad400.34