Caracterización espacial y expansión sintética de escenarios reales
Thesis overview
Author: José-Antonio Collado-Araque
Supervision: Juan-Manuel Jurado-Rodríguez, Alfonso López-Ruiz
Degree: Bachelor's Degree in Computer Science
Institution: University of Jaén, Department of Computer Science
Defense: September 2022
Final grade: 10/10 (with honors)
Awards
- Special Mention for Best B.S. Thesis, 7th Awards in Information and Communications Technology “Ada Lovelace”, University of Jaén (2022).
Publications
- Guided Modeling of Natural Scenarios: Vegetation and Terrain
2022 Spanish Computer Graphics Conference (CEIG), 2022 — DOI - Modeling and Enhancement of LiDAR Point Clouds from Natural Scenarios
Eurographics 2022 - Poster Papers, 2022 — DOI
Abstract
The generation of realistic natural scenarios is a longstanding and ongoing challenge in Computer Graphics. LiDAR (Laser Imaging Detection and Ranging) point clouds have been gaining interest for the representation and analysis of real-world scenarios. However, the output of these sensors is conditioned by several parameters, including, but not limited to, distance to scanning target, aperture angle, number of laser beams, as well as systematic and random errors for the acquisition process. Hence, LiDAR point clouds may present inaccuracies and low density, thus hardening their visualization. In this work, we propose reconstructing the surveyed environments to enhance the point cloud density and provide a 3D representation of the scenario. To this end, ground and vegetation layers are detected and parameterized to allow their reconstruction.
