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Scalable Visual Codes for Embedding Digital Data in the Physical World
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Uppsala Networked Objects)
SICS Swedish ICT, Kista, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS, Stockholm, Sweden.
2015 (English)In: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, ACM, 2015, 457-458 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

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.
National Category
Computer Engineering
Research subject
Computer Science with specialization in Computer Communication
Identifiers
URN: urn:nbn:se:uu:diva-266410DOI: 10.1145/2809695.2817852ISI: 000380612400069ISBN: 9781450336314 (print)OAI: oai:DiVA.org:uu-266410DiVA: diva2:867986
Conference
13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15)
Available from: 2015-11-09 Created: 2015-11-09 Last updated: 2016-09-15Bibliographically approved

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Hermans, FrederikVoigt, Thiemo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • nn-NB
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Output format
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