HCCVSep 4, 2017

Feasibility of Corneal Imaging for Handheld Augmented Reality

arXiv:1709.00965v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses the input space limitation for mobile augmented reality users, but it is incremental as it builds on existing around-device interaction techniques.

The paper tackled the problem of limited input space for smartphone-based augmented reality by exploring the feasibility of using corneal reflective imaging with a high-resolution camera to extend the input area, presenting a workflow, prototype, and evaluation.

Smartphones are a popular device class for mobile Augmented Reality but suffer from a limited input space. Around-device interaction techniques aim at extending this input space using various sensing modalities. In this paper we present our work towards extending the input area of mobile devices using front-facing device-centered cameras that capture reflections in the cornea. As current generation mobile devices lack high resolution front-facing cameras, we study the feasibility of around-device interaction using corneal reflective imaging based on a high resolution camera. We present a workflow, a technical prototype and a feasibility evaluation.

Foundations

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