1 Supplementing the Markerless AR with machine learning: Methods and approaches
Gunseerat Kaur · 2023
Augmented reality enhances real-world entities with the addition of relevant digital information. This interactive and engaging technology is incorporating itself into wider areas of technical applications. Although it is still in its evolving stage, it has garnered positive responses from audiences who interact with AR-based systems. Industries like gaming, healthcare, and education are benefiting from various augmented reality implementations. The main focus of using AR is to produce more effective interaction with the physical real world as a template and render a separate scenario above it. Initially, a marker-based system was created to project information from a marked region or image with specific characteristics, leading to multiple marketing and retail services adopting this feature. In these applications, a particular marker is sorted through view and detected to project the AR-related information, which further triggers the application’ response towards the marker. The baseline strategy includes image capture, processing for markers, tracking the results, and final rendering. However, to create more innovative forms of augmented reality, this concept was merged with machine learning to improve on the aspects that do not revolve around only particular markers. Markerless AR features superimposing graphics on the basis of locations, contour, or projection. This led to the exploration of various machine learning-based algorithms to improve the decision-making accuracy for AR applications. The methodology includes understanding the real environment and fabricating designs accordingly without the need to look for triggering markers. This chapter enlists various markerless AR techniques that use machine learning methods to increase the capability and coherence. The focus is to identify approaches used from machine learning algorithms to amplify efficacy of augmented reality applications using markerless services.