Browsing by Author "Iglesias-Guitian, Jose A."
Now showing items 1-6 of 6
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A comprehensive handball dynamics dataset for game situation classification
Mures, Omar A.; Taibo, Javier; Padrón, Emilio J.; Iglesias-Guitian, Jose A. (Elsevier, 2023)[Abstract] This article presents a comprehensive dataset of labeled game situations obtained from multiple professional handball matches, which corresponds to the research paper entitled “PlayNet: Real-time Handball Play ... -
Highway Remodeling: Harnessing Georeferenced Data for Procedural Modeling
Noriega, M. A.; Ribelles, José; Seoane, Antonio; Martínez, Margarita; Taibo, Javier; Iglesias-Guitian, Jose A. (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] : This paper introduces a novel procedural modeling system for generating 3D highway models, leveraging real-world data inputs such as highway layouts and manual annotations of essential elements. Our highly ... -
Immersive 3D Medical Visualization in Virtual Reality using Stereoscopic Volumetric Path Tracing
Taibo, Javier; Iglesias-Guitian, Jose A. (IEEE, 2024)[Abstract] Scientific visualizations using physically-based lighting models play a crucial role in enhancing both image quality and realism. In the domain of medical visualization, this trend has gained significant traction ... -
Physically Walking in Digital Spaces — A Virtual Reality Installation for Exploration of Historical Heritage
Hernández-Ibáñez, Luis A.; Taibo, Javier; Blanco, David; Iglesias-Guitian, Jose A.; Seoane, Antonio; Jaspe, Alberto; Mihura-López, Rocío (Sage, 2007)[Abstract] Immersive Virtual Reality Systems have been extensively used during recent years for the exploration of architectonic spaces. This paper describes how the use of transitable immersive virtual reality systems, ... -
PlayNet: real-time handball play classification with Kalman embeddings and neural networks
Mures, Omar A.; Taibo, Javier; Padrón, Emilio J.; Iglesias-Guitian, Jose A. (Springer, 2024)[Abstract] Real-time play recognition and classification algorithms are crucial for automating video production and live broadcasts of sporting events. However, current methods relying on human pose estimation and deep ... -
Understanding the Influence of Rendering Parameters in Synthetic Datasets for Neural Semantic Segmentation Tasks
Silva, Manuel; Mures, Omar A.; Seoane, Antonio; Iglesias-Guitian, Jose A. (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Deep neural networks are well known for demanding large amounts of training data, motivating the appearance of multiple synthetic datasets covering multiple domains. However, synthetic datasets have not yet ...
