Scalable Visual Codes for Embedding Digital Data in the Physical World
2015 (English)In: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, ACM, 2015, 457-458 p.Conference paper, Poster (Refereed)
Visual codes, such as QR codes, offer a low-cost alternative to RF technology when digital data needs to be embedded in objects in the physical world. However, in order to support receivers with a poor visual channel, e.g. low-resolution cameras, most visual codes are designed for low data capacity and short reading distances. We present our work on Focus, a visual code that avoids earlier work's explicit trade-off between code capacity and channel quality. Rather than encoding the payload directly into individual pixels, Focus encodes the payload over a range of spatial frequencies. As a result, even a receiver with a very poor visual channel (e.g., a low-resolution camera, or a camera experiencing motion blur) can still partly decode a Focus code, because the code's low-frequency components are robust to common channel impairments. A receiver with a good channel can decode all data from the same code. In our demo, we will present a prototype of Focus for smartphones and showcase how it deals with common impairments of the visual channel.
Place, publisher, year, edition, pages
ACM, 2015. 457-458 p.
Research subject Computer Science with specialization in Computer Communication
IdentifiersURN: urn:nbn:se:uu:diva-266410DOI: 10.1145/2809695.2817852ISI: 000380612400069ISBN: 9781450336314OAI: oai:DiVA.org:uu-266410DiVA: diva2:867986
13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15)