Location-aware augmented reality applications, where objects are injected into a real-world view based their location relative to your own position, as well as marker-based applications, where the real-world view is interpreted in real time and objects are placed in the view based on unique real-world markers, have rapidly become one of the killer applications on both the Android and iOS platforms.
This talk is a beginner’s guide to AR, covering both location-aware and marker based, and discusses how the handset’s in-built sensors are used to generate AR views inside mobile applications. It also provides pointers to AR SDKs, libraries, and code samples, that you can then use to build your own AR toolkit, which can be extended and reused in your own projects and applications.
He is the author of a number of books, and from time to time he also stands in front of cameras. You can often find him at conferences talking about interesting things, or deploying sensors to measure them. He recently rolled out a mesh network of five hundred sensors motes covering the entire of Moscone West during Google I/O. He’s still recovering.
He sporadically writes blog posts about things that interest him, or more frequently provides commentary in 140 characters or less. He is a contributing editor for MAKE magazine, and a contributor to the O’Reilly Radar.
A few years ago he caused a privacy scandal by uncovering that your iPhone was recording your location all the time. This caused several class action lawsuits and a U.S. Senate hearing. Several years on, he still isn’t sure what to think about that.
Alasdair is a former academic. As part of his work he built a distributed peer-to-peer network of telescopes which, acting autonomously, reactively scheduled observations of time-critical events. Notable successes included contributing to the detection of±what was at the time—the most distant object yet discovered, a gamma-ray burster at a redshift of 8.2.
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