Combining Embedded Computation and Image Tracking for Composing Tangible Augmented Reality
| Autor: | Antonio Krüger, Denise Kahl, Nico Herbig, Tim Düwel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Computation 05 social sciences Perspective (graphical) 020207 software engineering Usability 02 engineering and technology User experience design 0202 electrical engineering electronic engineering information engineering Tangible user interface 0501 psychology and cognitive sciences Composition (visual arts) Computer vision Augmented reality Artificial intelligence business 050107 human factors Block (data storage) |
| Zdroj: | CHI Extended Abstracts |
| DOI: | 10.1145/3334480.3383043 |
| Popis: | This work proposes a combination of embedded computation and marker tracking to provide more robust augmentations for composed objects in Tangible Augmented Reality. By integrating conductive elements into the tangibles' sides, communication between embedded microprocessors is enabled, such that a connected composition can be computed without relying on any marker tracking information. Consequently, the virtual counterparts of the tangibles can be aligned, and this virtual composition can be attached to a single marker as a whole, increasing the tracking robustness towards occlusions and perspective distortions. A technical evaluation shows that this approach provides more robust augmentations if a tangible block in a composition is occluded by at least 50% or perspectively distorted by at least 40 to 50 degrees, depending on the block's size. Additionally, a test with users relying on the use case of a couch configuration tool shows promising results regarding usability and user experience. |
| Databáze: | OpenAIRE |
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