Dynamic composition of interactive AR scenes with the CARL language
Dariusz Rumiński , Krzysztof Walczak
AbstractThe paper presents a method of dynamic composition of interactive augmented reality (AR) scenes based on distributed data sources and depending on the context. For this purpose, a novel declarative language for modelling ubiquitous, contextual AR environments is employed. The language, called CARL - Contextual Augmented Reality Language, enables modularisation of the structure of AR scenes and the presented AR content. CARL separates specification of three categories of entities constituting an AR environment - trackable markers, content objects and interfaces. Particular entities may be selectively added to an AR scene, which makes the language flexible and particularly well suited for building dynamic AR systems.
|Publication size in sheets||0.5|
|Book||2014, The 5th International Conference on Information, Intelligence, Systems and Applications (IISA), 2014, IEEE, ISBN 978-1-4799-6171-9, 409 p.|
|Keywords in English||interactive AR scene dynamic composition , CARL language , distributed data sources , declarative language , ubiquitous contextual AR environment modelling , contextual augmented reality language , dynamic AR systems|
|Score|| = 10.0, 12-02-2020, BookChapterMatConfByIndicator|
= 15.0, 12-02-2020, BookChapterMatConfByIndicator
|Publication indicators||= 6|
|Citation count*||8 (2020-08-13)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.