Geomatics and Forensic: Progress and Challenges

  1. Rodríguez-Gonzálvez, Pablo
  2. Muñoz-Nieto, Ángel Luis 1
  3. Zancajo-Blázquez, Sandra
  4. González-Aguilera, Diego 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Libro:
Forensic Analysis: From Death to Justice
  1. B Suresh Shetty (coord.)

Editorial: IntechOpen

ISBN: 978-953-51-2633-1 978-953-51-2632-4

Año de publicación: 2016

Tipo: Capítulo de Libro

DOI: 10.5772/63155 GOOGLE SCHOLAR

Objetivos de desarrollo sostenible

Resumen

Since graphics hold qualitative and quantitative information of complex crime scenes, it becomes a basic key to develop hypothesis in police investigations and also to prove these hypotheses in court. Forensic analysis involves tasks of scene information mining as well as its reconstruction in order to extract elements for explanatory police test or to show forensic evidence in legal proceedings. Currently, the combination of sensors and technologies allows the integration of spatial data and the generation of virtual infographic products (orthoimages, solid images, point clouds, cross‐sections, etc.) which are extremely attractive. These products, which successfully retain accurate 3D metric information, are revolutionizing dimensional reconstruction of objects and crime scenes. Thus, it can be said that the reconstruction and 3D visualization of complex scenes are one of the main challenges for the international scientific community. To overcome this challenge, techniques related with computer vision, computer graphics and geomatics work closely. This chapter reviews a set of geomatic techniques, applied to improve infographic forensic products, and its evolution. The integration of data from different sensors whose final purpose is 3D accurate modelling is also described. As we move into a highly active research area, where there are still many uncertainties to be resolved, the final section addresses these challenges and outlines future perspectives.