Effective Registration for Multiple Users AR System

Abstract

Registration is an important task in augmented reality (AR) systems. For markerless AR, feature descriptors are generally used as a basis of registration process, which is expected to be robust for various application scenarios. This work aims at exploring effective schemes to improve the registration results, especially for applications with large viewpoint angles. Using the proposed scheme, the registration error can be reduced by only evaluating feature points near the virtual object and within the region of interest. Experimental results reveal that about 30% to 50% registration error and 10 times data size of features can be reduced by applying the proposed schemes. Thus, the bandwidth requirement for transmitting features among different users is also decreased accordingly.