Inverse Augmented Reality: A Virtual Agent's Perspective
Zhenliang Zhang, Dongdong Weng, Haiyan Jiang, Yue Liu, Yongtian Wang

TL;DR
This paper introduces inverse augmented reality (IAR), a virtual agent-centered framework that enables virtual agents to observe both virtual and real objects, offering a new perspective distinct from traditional human-centered AR.
Contribution
The paper proposes the IAR framework, shifting the focus from human-centered AR to a virtual agent-centric perspective, and establishes the equivalence between virtual and physical worlds.
Findings
IAR allows virtual agents to observe real and virtual objects simultaneously.
The framework demonstrates the equivalence of virtual and physical structures.
It provides a new perspective for analyzing reality from a virtual agent's point of view.
Abstract
We propose a framework called inverse augmented reality (IAR) which describes the scenario that a virtual agent living in the virtual world can observe both virtual objects and real objects. This is different from the traditional augmented reality. The traditional virtual reality, mixed reality and augmented reality are all generated for humans, i.e., they are human-centered frameworks. On the contrary, the proposed inverse augmented reality is a virtual agent-centered framework, which represents and analyzes the reality from a virtual agent's perspective. In this paper, we elaborate the framework of inverse augmented reality to argue the equivalence of the virtual world and the physical world regarding the whole physical structure.
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Taxonomy
TopicsHuman Motion and Animation · Robotics and Sensor-Based Localization · Robotic Path Planning Algorithms
