Hermans, Frederik and McNamara, Liam and Voigt, Thiemo (2015) Scalable Visual Codes for Embedding Digital Data in the Physical World. In: Embedded Networked Sensor Systems (SenSys), 2015, Seoul, South Korea.
Official URL: http://dl.acm.org/citation.cfm?id=2817852&CFID=637...
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 sup- port 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-in-progress on Focus, a visual code that avoids earlier work’s explicit trade-off between code capacity and channel quality. Rather than encoding the pay- load directly into individual pixels, Focus encodes the pay- load over a range of spatial frequencies. As a result, even a receiver with a very poor channel (e.g., with low-resolution camera or 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.
|Item Type:||Conference or Workshop Item (Other)|
|Deposited By:||Liam McNamara|
|Deposited On:||15 Jan 2016 10:22|
|Last Modified:||10 Aug 2016 11:17|
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