A mapping of visual SLAM algorithms and their applications in augmented reality
João Pedro Mucheroni Covolan, Antônio Carlos Sementille, Sílvio Ricardo Rodrigues Sanches
Abstract
The term visual SLAM defines the problem of build a map of an environment and perform location, simultaneously. In the augmented reality experience, we can apply SLAM techniques to insert virtual elements in the user's real-world view according to their observation point (location) and environment structure (mapping). In this work, we investigated the main algorithms of visual SLAM, and its applications in augmented reality. Here, we describe the key features of these algorithms and two taxonomies for SLAM techniques are proposed.
Topics & Concepts
Augmented realitySimultaneous localization and mappingComputer scienceComputer visionVirtual realityArtificial intelligenceKey (lock)VisualizationComputer graphics (images)RobotMobile robotComputer securityRobotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval TechniquesAugmented Reality Applications