CEIG2021

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https://diglib.eg.org/handle/10.2312/2633085

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Browsing CEIG2021 by Subject "Computing methodologies"

Now showing 1 - 7 of 7
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    Aplicación del motor de videojuegos Unity para la reconstrucción virtual de yacimientos arqueológicos
    (The Eurographics Association, 2021) Calzado-Martínez, Alberto; García-Fernández, Ángel Luis; Ortega-Alvarado, Lidia M.; Ortega, Lidia M. and Chica, Antonio
    En este trabajo se presenta una aplicación desarrollada para enriquecer y ampliar las técnicas actuales de registro arqueológico. Basada en una arquitectura cliente-servidor, se ha utilizado el motor de videojuegos Unity para implementar una aplicación cliente sencilla e intuitiva que permite realizar la reconstrucción virtual de un yacimiento a partir del escaneado 3D in situ del terreno excavado, así como del escaneado 3D en laboratorio de los hallazgos más importantes. Así se consigue preservar la información espacial del yacimiento, y se facilita la visita virtual del mismo desde cualquier equipo conectado a Internet.
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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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    Generation Process of Intrinsic Images Dataset Through Physically-based Rendering
    (The Eurographics Association, 2021) Rodríguez, Ignacio Moral; López, Alfonso; Jiménez-Perez, J. Roberto; Feito, Francisco R.; Ortega, Lidia; Jurado, Juan M.; Ortega, Lidia M. and Chica, Antonio
    El problema denominado Intrinsic Image Decomposition sigue siendo un desafío por resolver en informática gráfica. Aunque el uso de arquitecturas de aprendizaje profundo supondría un avance significativo, los conjuntos de datos de entrenamiento utilizados son aún reducidos. En este estudio se presenta una metodología para la generación de imágenes y su descomposición en varios canales haciendo uso del motor de renderizado Mitsuba2. Para ello, se ha modelado un escenario natural en el que coexisten distintos tipos de vegetación sobre un terreno. En torno a este escenario, se define una trayectoria sobre la que orbita la cámara para generar un conjunto de imágenes desde distintos puntos de vista de forma automática. Como resultado, se proporcionan conjuntos de datos obtenidos a partir de entornos naturales sintéticos formados por las siguientes capas para cada imagen: mapa de normales, iluminación, albedo y mapa de profundidad. Este desarrollo supone un punto de partida para el estudio del cálculo de la iluminación en entornos reales complejos mediante enfoques basados en aprendizaje profundo.
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    A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets
    (The Eurographics Association, 2021) López, Alfonso; Anguita, Carlos Javier Ogayar; Higueruela, Francisco Ramón Feito; Ortega, Lidia M. and Chica, Antonio
    This paper presents a GPU-based LiDAR simulator to generate large datasets of ground-truth point clouds. LiDAR technology has significantly increased its impact on academic and industrial environments. However, some of its applications require a large amount of annotated LiDAR data. Furthermore, there exist many types of LiDAR sensors. Therefore, developing a parametric LiDAR model allows simulating a wide range of LiDAR scanning technologies and obtaining a significant number of points clouds at no cost. Beyond their intensity data, these synthetic point clouds can be classified with any level of detail.
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    ISSIGraph: An Open Source Multi-platform C++ Tool for Rapid 2D/3D Wireframe Sketching
    (The Eurographics Association, 2021) Jiménez de Parga, Carlos; ; Ortega, Lidia M. and Chica, Antonio
    Rapid sketch modelling and Computer-Aided Design (CAD) initiation are increasingly demanded activities in the creative and educational areas. For this reason, this paper presents a cross-platform C++ toolkit with the aim to facilitate the illustration of technical concepts in a fast way using basic quadric objects, Bézier and NURBS surfaces with a wireframe representation. This tool was designed using Software Engineering principles guided by a basic Rational Unified Process (RUP) methodology with the application of the Unified Modelling Language (UML). This tool perfectly works in all computers with very elemental 3D graphics hardware and with OpenGL support. The resulting benchmarks demonstrate that ISSIGraph has a very small CPU footprint that make it suitable for any platform. As a consequence, this application is well suited for rapid 2D/3D project sketching in the creative and engineering fields, as well as an initiation to CAD techniques for students and computer fans.
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    Synthetic Data Set Generation for the Evaluation of Image Acquisition Strategies Applied to Deep Learning Based Industrial Component Inspection Systems
    (The Eurographics Association, 2021) Saiz, Fátima A.; Alfaro, Garazi; Barandiaran, Iñigo; Garcia, Sara; Carretero, M. P.; Graña, Manuel; Ortega, Lidia M. and Chica, Antonio
    Automated visual inspection is an ongoing machine vision challenge for industry. Faced with increasingly demanding quality standards it is reasonable to address the transition from a manual inspection system to an automatic one using some advanced machine learning approaches such as deep learning models. However, the introduction of neural models in environments such as the manufacturing industry find certain impairments or limitations. Indeed, due to the harsh conditions of manufacturing environments, there is usually the limitation of collecting a high quality database for training neural models. Also, the imbalance between non-defective and defective samples is very common issue in this type of scenarios. To alleviate these problems, this work proposes a pipeline to generate rendered images from CAD models of industrial components, to subsequently feed an anomaly detection model based on Deep Learning. Our approach can simulate the potential geometric and photometric transformations in which the parts could be presented to a real camera to faithfully reproduce the image acquisition behavior of an automatic inspection system. We evaluated the accuracy of several neural models trained with different synthetically generated data set simulating different transformations such as part temperature or part position and orientation with respect to a given camera. The results shows the feasibility of the proposed approach during the design and evaluation process of the image acquisition setup and to guarantee the success of the real future application.