Segmentation of Indoor Mapping Point Clouds Applied to Crime Scenes Reconstruction

Data acquisition in forensics science must be performed in a fast and an 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...

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Bibliographic Details
Published inIEEE transactions on information forensics and security Vol. 10; no. 7; pp. 1350 - 1358
Main Authors Zancajo-Blazquez, Sandra, Laguela-Lopez, Susana, Gonzalez-Aguilera, Diego, Martinez-Sanchez, Joaquin
Format Journal Article
LanguageEnglish
Published IEEE 01.07.2015
Subjects
CAD
Crime scenes
Design automation
Educational institutions
Eigenvalues and eigenfunctions
Forensics
indoor mapping
PCA
point clouds
segmentation
Solid modeling
Three-dimensional displays
Vectors
point clouds
segmentation
Crime scenes
indoor mapping
CAD
PCA
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Summary:Data acquisition in forensics science must be performed in a fast and an 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 3-D 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.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2015.2407699