A Method for Mutual Localization of Smartphones for an Augmented Reality Application
As part of my Thesis I developed an AR application using an algorithm that allows multiple users to see Augmented Reality in the same real world position and interact with each other in this environment.
This Thesis was awarded the Computer Science Award of my Faculty.
Abstract:
Current improvements in augmented reality for smartphones have introduced SLAM and other methods to gain a more sophisticated understanding of the device’s movement and its real environment. This has allowed the development of many new features which, until very recently, did not include synchronized augmented reality experiences for multiple users. This thesis introduces a new way to allow multiuser augmented reality by mutually localizing devices based on overlaps of their environments. Featurepoints of one device are therefore matched to the featurepoints of another device to calculate the position they have in relation to each other. This process is completed by using template matching in combination with an iterative closest point algorithm. This method can also be useful for other applications in the area of augmented reality on smartphones.
