English

Feasibility of Corneal Imaging for Handheld Augmented Reality

Human-Computer Interaction 2017-09-05 v1 Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.1709.00965,
  title  = {Feasibility of Corneal Imaging for Handheld Augmented Reality},
  author = {Daniel Schneider and Jens Grubert},
  journal= {arXiv preprint arXiv:1709.00965},
  year   = {2017}
}