Traditional object recognition in computer vision is the task of finding and identifying objects in an image or video sequence. With the release of game sensors, low-cost range devices, a further step in recognition has been taken. By using these devices that generate 3D point clouds, recognition is performed on these point clouds, reaching goals impossible in classical image recognition.
Augmented reality (AR) is the term used to define a view through a technological device, directly or indirectly, of a physical environment of the real world, whose elements are combined with virtual elements for the creation of a mixed reality in real time. It consists of a set of devices that add virtual information to the already existing physical information, i.e. adding a virtual synthetic part to the real. This is the main difference with virtual reality, as it does not replace physical reality, but overlays computer data onto the real world.
Combined with the object recognition research line, it allows us to generate augmented reality systems that recognise an object and tell you its position through augmented reality.
