Conformal Mapping of Physical Spaces for Augmented Reality (AR) Experiences



Practical approach to develop an AR experience at scale to incorporate real-world museum exhibits and other open-ended spaces.

Key Benefits

  • Track and trigger any large exhibit (indoor) space as one single image target.
  • Conformal mapping provides greater flexibility by adding or removing AR trigger markers.

Technical Summary

To solve the technological barrier in the mapping of AR content to the mobile application, Emory researchers propose to remove this lack of standardization in AR content mapping by introducing conformal mapping of physical spaces to AR contents. Inventors and the Atlanta History Center collaborated to develop an educational application for the Cyclorama exhibit to aid in easy identification and illustration of significant points-of-interests (POIs) embedded in the painting. Using AR, a smart device can be utilized to scan for image targets in the painting. Once the device locates an image target, it uses the application to augment more information about a particular POI. System Hardware and Software used to develop the Cyclorama AR application:

  • Unity game engine (free and paid models) in combination with the Vuforia SDK (free and paid models) to develop the Cyclorama AR application.
  • Samsung's Galaxy Tab A and Apple's iPad Pro 2018.
  • C# programming language.

Inventors chose a marker-based AR approach for this project. Marker-based AR allows the user to scan physical images, "marker", and render a 3D model, another image, video, or scene and interact with it using the smart device.

Developmental Stage

Inventors are currently designing a mobile scanning application with optical setting for Light Detecting and Ranging (Lidar) data that will streamline the process of mapping custom AR trigger markers. It is speculated that Lidar sensors will become commonplace on most smartphone and tablets. In addition to the above, future work will focus on (i) measuring efficacy of conformal mapping of AR markers, and (ii) tracking longitudinal usability.

Patent Information

Tech ID: 22029
Published: 2/23/2022