All You Need To Know About Virtual Reality And Augmented Reality
The term Virtual Reality (VR) refers to any computer generated environment where it is possible to simulate physical environments of the real world, as well as imaginary worlds. The degree of presence inside a virtual environment depends on how immersed our senses are.
To achieve this, VR makes use of stereoscopic real-time graphics through different display technologies ( Head Mounted Displays or HMDs, large Stereo Wall-type displays, multiple displays such as CAVE TM, etc.), tracking systems to monitor one or more users and haptic sensory devices.
Our work is mainly focused on the generation of realistic 3D content and applications that help the user to feel more immersed with the content presented. We see virtual reality as a technological key not only for the visualization and simulation of experiences but also as a magnificent tool that provides solutions to real life problems.
With this idea in mind, our projects aim to detect and treat such problems, such as the development of a facial soft tissue reconstruction tool or a controlled environment monitoring system to aid decision-making.
The most important areas of application are: Design, modeling and visualization of objects and places of interest such as buildings, environments, industrial products, prototypes, etc; Reconstruction and virtual visits to real historical places and cultural heritage; Complex data visualization and process simulation; Training and training of people in a collaborative way to deal with complicated and / or dangerous situations; Scientific research in medicine through the reproduction of real life conditions in a virtual way and study of the behavior of users in a practical and controlled environment.
The objective of augmented reality is the integration of digital content on the image that users perceive in real time. It is, literally, adding information of interest to the environment that surrounds us. Unlike virtual reality, augmented reality is not about simulating a real scene. Instead, AR uses real space as a foundation and adds contextual information to further the user’s understanding of their environment.
The most frequent example and one of the first commercial applications of AR technology was the insertion of the offside line in televised soccer games. We work on augmented reality projects, showing content on mobile devices (e.g. tablets or smartphones), trying to create experiences in which the user perceives enriching information from the environment that surrounds them.
This technique provides a developmental framework for study and research in a wide range of areas such as entertainment, military training, engineering design, robotics, manufacturing, and other industries.
The most important areas of application of AR are: Location of users in unknown environments, using algorithms from the field of robotics, such as SLAM and PTAM; Representation of contextual information superimposed on the geometry of the environment; Reconstruction of previously existing ruins, buildings or landscapes; Provision of interactive content, helping the learning process; Support in decision-making within the industrial prototyping or visualization of processes before the end of the project; Assistance for the resolution of complex assembly, maintenance and surgery tasks; Viewing construction projects before completion.
Artificial Vision, also called Computer Vision, is a branch of Artificial Intelligence that collects the set of techniques that allow a machine to recognize the structure and properties of the images it receives just as a human being would.
To achieve this, Computer Vision uses, among others, image processing techniques, pattern recognition, statistical learning and graph theory.
These techniques process the images captured by the cameras providing the necessary data to the final applications, for example, the detection of a certain object or the calculation of the depth of the objects in the scene in order to interact with them. Among the Artificial Vision techniques we usually work with are: Segmentation; feature extraction; Stereo correspondence; Facial recognition; Reconstruction of scenarios