The Fixed-Implicit Object Alignment Method for Image Processing

Abstract

The challenge facing image processing (IP) systems in scenes is the process of seamlessly integrating virtual objects with real scenes. There are several challenges, including the alignment problem, which is the inability to overcome the alignment problem due to the misalignment between virtual objects and their desired locations in real scenes, which leads to a complete deterioration of the system's performance, thus disrupting the image processing process to create an environment and weakening the user experience. Note that the alignment problem appears in the specified region or object, so we use an approach for alignment of fixed objects implicitly. Our experiment focuses on resolving discrepancies between the specified location of the virtual object and the corresponding real object, unlike dynamic alignment that continuously adapts to the entire scene. This work is to fix the virtual object in a fixed reference region within the real-world framework, which led to enhanced results and reduced cases of alignment failure in critical areas.