Detection of transient objects in images

Abstract

In real-world environments, transient objects, such as moving cars, people, or temporary obstructions, can significantly impact the accuracy and performance of augmented reality (AR) systems. Traditional AR systems struggle to detect and remove transient objects, which may lead to computational inefficiencies and poor user experiences. The disclosed approach to 3D mapping identifies and eliminates transient objects from the generated maps. This may improve the overall usability of AR applications by providing a more stable, clutter-free augmented experience. Further, the proposed approach for generating 3D maps that do not include transient objects may reduce computational costs and inefficiencies when generating AR experiences by reducing the computational resources necessary to identify and account for changes in the environment represented by the 3D map at run time of the AR experiences.

Images