Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

2 2019

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Crime scene reconstruction with RGB-D sensors

Amamra Abdenour, Amara Yacine, Boumaza Khalid, Benayad Aissa

Annals of Computer Science and Information Systems

2019

Vol. 18

391-–396

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 effectiveness of our solution with a visually appealing rendering, an accurate simulation and a quantitative error of less than 18cm for the $4m \times 4 m$ indoor scene. An accompanying video is provided in order to illustrate the processing pipeline (https://youtu.be/IYnJSNV7QkI).

A GIS data realistic road generation approach for traffic simulation

Amara Yacine, Amamra Abdenour, Daheur Yasmine, Saichi Lamia

Annals of Computer Science and Information Systems

2019

Vol. 18

385–-390

Road networks exist in the form of polylines with attributes within the GIS databases. Such a representation renders the geographic data impracticable for 3D road traffic simulation. In this work, we propose a method to transform raw GIS data into a realistic, operational model for real-time road traffic simulation. For instance, the proposed raw to simulation-ready data transformation is achieved through several curvature estimation, interpolation/approximation, and clustering schemes. The obtained results show the performance of our approach and prove its adequacy to real traffic simulation scenario as can be seen in this video (https://youtu.be/t8eyphcFYHc.)