Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display

Augmented reality (AR) is often realized through head-mounted displays, offering immersive but egocentric experiences. While smartphone-based AR is more accessible, it remains limited to handheld, single-user interaction. We introduce Chameleon, a prototype AR system that transforms smartphones into surface-anchored displays for co-located use. When placed flat, the phone creates a transparency illusion and anchors digital content visible to multiple users. Chameleon supports natural repositioning on the surface without external hardware by combining two techniques: (1) Background Acquisition uses opportunistic sensing and language model-assisted pattern generation to blend with surrounding surfaces, and (2) Real-Time Position Tracking augments inertial sensing to maintain spatial stability. This work shows how lightweight sensing can support casual, collaborative AR experiences using existing devices.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746058.3758440
Primary Topic
Augmented Reality Applications
Type
article
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article

Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display

Sung Soo Yang, Inseok Hwang, Jeongwon Choi, Su-Won Yoon
Augmented Reality Applications
article

Chameleon: A Surface-Anchored Smartphone AR Prototype with Visually Blended Mobile Display

Sung Soo Yang, Inseok Hwang, Jeongwon Choi, Su-Won Yoon
article en

Abstract

Augmented reality (AR) is often realized through head-mounted displays, offering immersive but egocentric experiences. While smartphone-based AR is more accessible, it remains limited to handheld, single-user interaction. We introduce Chameleon, a prototype AR system that transforms smartphones into surface-anchored displays for co-located use. When placed flat, the phone creates a transparency illusion and anchors digital content visible to multiple users. Chameleon supports natural repositioning on the surface without external hardware by combining two techniques: (1) Background Acquisition uses opportunistic sensing and language model-assisted pattern generation to blend with surrounding surfaces, and (2) Real-Time Position Tracking augments inertial sensing to maintain spatial stability. This work shows how lightweight sensing can support casual, collaborative AR experiences using existing devices.

Pohang University of Science and Technology (KR)
Openalex Percentile: Top 60%
Augmented Reality Applications
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