The activity of the Virtual Reality Area at CeDInt mainly focuses on the development of tools for Virtual Reality, Augmented Reality, Mixed Reality, tracking and natural interaction, computer vision, visualization, and visual analytics applied to solving technological challenges in areas such as security and surveillance; automation and personalized assistance in intelligent environments; surgery and forensic and legal medicine; architecture and urban planning; and the visualization and analysis of large volumes of data to support large-scale decision making (for example in Smart Cities). The area integrates advanced 3D modeling technologies, interactive simulation, and visual analytics to create highly realistic digital environments. It also investigates new forms of human–machine interaction through immersive devices and advanced sensors. Its developments help improve training, simulation, and planning processes across different professional sectors.
Head of Area
Francisco Luque
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Research Lines
1.- Virtual Reality:
- Design, modeling, and visualization of objects and points of interest such as buildings, environments, industrial products, prototypes, etc.
- Reconstruction and virtual tours of real historical sites and cultural heritage.
- Visualización de datos complejos y simulación de procesos.
- Collaborative training of people to handle complicated and/or dangerous situations.
- Scientific research in medicine through the virtual reproduction of real-life conditions and study of user behavior in a practical and controlled environment.
2.- Augmented Reality:
- User localization in unknown environments using algorithms from robotics, such as SLAM and PTAM.
- Representation of contextual information overlaid on the environment’s geometry.
- Reconstruction of ruins, buildings, or previously existing landscapes.
- Provision of interactive content, supporting the learning process. AR also enables remote collaboration.
- Support in decision-making within industrial prototyping or process visualization before project completion.
- Assistance in performing complex tasks in assembly, maintenance, or surgery.
- Visualization of construction projects before the building is completed. AR allows virtual tours of both exteriors and interior layouts on the actual site.
3.- Computer Vision:
- Image segmentation.
- Feature extraction.
- Stereo correspondence / disparity.
- Facial recognition.
- Reconstruction of three-dimensional (3D) scenarios.
- Quality inspection in production lines. con detección de defectos en piezas o productos.
- Quality inspection in production lines.
- Autonomous driving (lane, pedestrian, and traffic sign detection).
4.- Visual Information Analysis:
- Geospatial representation of data.
- Temporal data analysis (timelines, evolution).
- Understanding complex patterns in urban areas.
- Advising policy-makers.
- Advising data mining experts.
- Representation of data features in virtual and/or augmented reality environments.
- Visualization of historical changes in urban or natural environments.
- Comparison of events before and after an intervention or change.
- Analysis of networks and relationships between elements (e.g., social networks, traffic, logistics).
Area members
Asun Santamaría
Associate Professor
Francisco Luque
Doctoral Researcher
Sergio Arbesu
Bachelor’s Thesis Student