Browsing by Author "Jurado, Juan Manuel"

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    Comparison of GPU-based Methods for Handling Point Cloud Occlusion
    (The Eurographics Association, 2021) López, Alfonso; Jurado, Juan Manuel; Padrón, Emilio José; Ogayar, Carlos Javier; Feito, Francisco Ramón; Ortega, Lidia M. and Chica, Antonio
    Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by projecting the point cloud into the image plane and retrieving additional data for each point. Nevertheless, the raw projection omits the occlusion caused by foreground surfaces, thus assigning wrong information to 3D points. For large point clouds, testing the occlusion of each point from every viewpoint is a time-consuming task. Hence, we propose several algorithms implemented in GPU and based on the use of z-buffers. Given the size of nowadays point clouds, we also adapt our methodologies to commodity hardware by splitting the point cloud into several chunks. Finally, we compare their performance through the response time.
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    Generación de fenómenos naturales mediante la simulación realista de sólidos deformables en Bifrost
    (The Eurographics Association, 2021) Cruz, José; Jurado, Juan Manuel; Jiménez-Pérez, J. Roberto; Ortega, Lidia; Ortega, Lidia M. and Chica, Antonio
    La simulación de fluidos y sólidos deformables ha sido ampliamente estudiada en Informática Gráfica. Existen diferentes soluciones que posibilitan una simulación cada vez más realista en entornos del mundo real. Para ello, los objetos se modelan geométricamente utilizando una malla de partículas. Esto permite la deformación de medios continuos asociando un conjunto de atributos a cada partícula que determinan su comportamiento y el de sus vecinas. En este trabajo se propone una herramienta interdisciplinar con la que generar simulaciones de fenómenos naturales como avalanchas o inundaciones. Gracias a este tipo de simulaciones físicamente realistas se consigue una manera efectiva de predecir y evaluar con un alto nivel de detalle el impacto producido por distintos tipos de desastres naturales.
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    Modeling and Enhancement of LiDAR Point Clouds from Natural Scenarios
    (The Eurographics Association, 2022) Collado, José Antonio; López, Alfonso; Jiménez-Pérez, J. Roberto; Ortega, Lidia M.; Feito, Francisco R.; Jurado, Juan Manuel; Sauvage, Basile; Hasic-Telalovic, Jasminka
    The generation of realistic natural scenarios is a longstanding and ongoing challenge in Computer Graphics. A common source of real-environmental scenarios is open point cloud datasets acquired by LiDAR (Laser Imaging Detection and Ranging) devices. However, these data have low density and are not able to provide sufficiently detailed environments. In this study, we propose a method to reconstruct real-world environments based on data acquired from LiDAR devices that overcome this limitation and generate rich environments, including ground and high vegetation. Additionally, our proposal segments the original data to distinguish among different kinds of trees. The results show that the method is capable of generating realistic environments with the chosen density and including specimens of each of the identified tree types.