用CARL语言动态合成交互式AR场景

Dariusz Rumiński, K. Walczak
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引用次数: 9

摘要

提出了一种基于分布式数据源、基于场景的交互式增强现实(AR)场景动态合成方法。为此,采用了一种新颖的声明性语言来对无处不在的上下文AR环境进行建模。这种语言被称为CARL——上下文增强现实语言,可以实现AR场景结构和呈现的AR内容的模块化。CARL分离了构成AR环境的三类实体的规范——可跟踪标记、内容对象和接口。特定的实体可以选择性地添加到AR场景中,这使得语言变得灵活,特别适合于构建动态AR系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic composition of interactive AR scenes with the CARL language
The 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.
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