Browsing by Subject "Registration"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Beyond the Studio: A Mixed-Methods Approach to Exploring Art Therapy Advocacy in Indiana
    (2016) Hammond, Mohammad; King, Juliet
    In the United States currently 10 states have either professional licenses with verbiage inclusive of art therapy or licenses that are distinctly art therapy. The states with art therapy licenses received that distinction due to art therapists who advocated on behalf of the profession, consequently shaping the perception of art therapy within their communities and states (American Art Therapy Association (AATA), 2013). In the state of Indiana there is neither an art therapy license, nor verbiage in existing legislative documentation that is inclusive of art therapy in any professional license. This research sought to understand what advocacy efforts have been conducted by AATA and the state chapter of Indiana, the Indiana Art Therapy Association (INDIATA).
  • Thumbnail Image
    Item
    Registration and Localization of Unknown Moving Objects in Monocular SLAM
    (IEEE, 2022-03-23) Troutman, Blake; Tuceryan, Mihran; Computer and Information Science, School of Science
    Augmented reality (AR) applications require constant device localization, which is often fulfilled by visual simultaneous localization and mapping (SLAM). SLAM provides realtime camera localization by also dynamically building a 3D map of the environment, but the functionality of SLAM systems generally stops here. Useful applications of AR could make great use of additional information about the environment, such as the structure and location of moving objects in the scene (including objects that were not previously known to be separate from the static points of the map). We present an approach for solving the visual SLAM problem while also registering and localizing moving objects without prior knowledge of the objects’ structure, appearance, or existence. This is accomplished via analysis of reprojection errors and iterative use of the ePnP algorithm in a RANSAC scheme. The approach is demonstrated with the accompanying prototype system, LUMO-SLAM. The initial results achieved by this system indicate that the approach is both sound and potentially viable for some practical applications of AR and visual SLAM.