Stealthy Location Tracking with Ninja Codes
In this paper we describe Ninja Codes, neurally-generated fiducial markers that blend naturally into real-world environments.Taking inspiration from recent advances in deep steganography, we train a neural network that transforms arbitrary images into functional fiducial markers (Ninja Codes) with minimal visual changes.Ninja Codes can be pasted onto various surfaces, to provide location tracking capability for applications such as augmented reality, robotics, etc. Ninja Codes can be printed using common color printers on regular paper, and can be detected by any hardware equipped with a standard RGB camera and capable of running inference. CCS Concepts Human-
Authors
- Yuichiro Takeuchi (ORCID: https://orcid.org/0000-0001-5219-3447)
- Shunya Kato
- Yusuke Imoto (ORCID: https://orcid.org/0009-0005-4244-0519)
Institutions
- Kyoto University (JP)
- Sony Computer Science Laboratories (JP)
- The University of Osaka (JP)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3681755.3688953
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00