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Transforming Physical Crime Scene into Geospatial-based Point Cloud Data.
- Source :
- Engineering, Technology & Applied Science Research; Jun2024, Vol. 14 Issue 3, p13974-13981, 8p
- Publication Year :
- 2024
-
Abstract
- Terrestrial Laser Scanning (TLS) and Close-Range Photogrammetry (CRP) are advanced techniques for capturing 3D data in crime scene reconstruction, offering complementary information. Despite taking multiple scans and images from different angles to ensure a comprehensive model, limitations, such as device positioning, shadows, object distance, and laser beam angles prevent the creation of a complete crime scene model. Therefore, combining TLS and CRP data is crucial for achieving a comprehensive reconstruction. This study aims to transform a physical crime scene into a geospatial-based reconstructed model known as point clouds. The technique used was highly rich in realistic features, digitally reconstructed from TLS and CRP. The data sources were then fused via a rigid body transformation, creating a comprehensive crime scene model. The combined point cloud measurements were compared with measurements obtained from a high-precision Vernier caliper to ascertain their accuracy. The resulting Root Mean Square (RMSE) difference between the fused point cloud data and the high-precision caliper measurements was approximately ±4mm. The fusion of TLS and CRP data provides reliable and highly accurate 3D model point clouds, making it suitable for forensic applications. [ABSTRACT FROM AUTHOR]
- Subjects :
- CRIME scenes
POINT cloud
ROOT-mean-squares
VERNIERS
LASER beams
Subjects
Details
- Language :
- English
- ISSN :
- 22414487
- Volume :
- 14
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Engineering, Technology & Applied Science Research
- Publication Type :
- Academic Journal
- Accession number :
- 178662044
- Full Text :
- https://doi.org/10.48084/etasr.6888