Name
Abstract | ||
|---|---|---|
Data acquisition in forensics science must be performed in a fast and efficient way, so that the data acquired is maximized at the same time that disturbance and time on the scene are minimized. For this reason, the use of indoor mapping systems appears as a key solution, in contrast with static systems, either laser or photogrammetry based, in which representing big and complex scenes requires acquisition from a high number of positions, and long-time dedication for data processing. This paper presents a methodology for the segmentation of point clouds acquired with a mobile indoor mapping system, and their conversion to 3D models in CAD format, based on parameterized geometric elements from the scene. This way, all the information required in forensic sciences is stored in an adequate digital format, enabling its availability in the future and minimizing time dedication in both data acquisition and processing steps. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIFS.2015.2407699 | Information Forensics and Security, IEEE Transactions |
Keywords | Field | DocType |
cad,crime scenes,pca,indoor mapping,point clouds,segmentation,image segmentation,data processing,solid modeling,forensics,design automation,image reconstruction,forensic science,vectors,forensics science,data acquisition | Photogrammetry,Computer vision,Crime scene,Data processing,Computer science,Segmentation,Data acquisition,Electronic design automation,Artificial intelligence,Solid modeling,Point cloud | Journal |
Volume | Issue | ISSN |
PP | 99 | 1556-6013 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zancajo-Blazquez, S. | 1 | 0 | 0.34 |
| Laguela-Lopez, S. | 2 | 0 | 0.34 |
| Gonzalez-Aguilera, D. | 3 | 0 | 0.34 |
| Martinez-Sanchez, J. | 4 | 0 | 0.34 |
| Sandra Zancajo-Blazquez | 5 | 0 | 0.34 |
| Susana Lagüela-Lopez | 6 | 0 | 0.34 |
| Diego González-Aguilera | 7 | 81 | 19.41 |
| Joaquin Martinez-Sanchez | 8 | 13 | 4.20 |