Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs and imaging coprocessors, and multiple gigabytes of memory. Plus, they integrate front- and rear-viewing cameras capable of capturing high-resolution still images and HD video clips. Harnessing this hardware potential, developers are leveraging these same cameras, primarily intended for still and video photography and videoconferencing purposes, to also create diverse embedded vision applications. Implementation issues must be sufficiently comprehended, however, for this potential to translate into compelling reality.

Introduction</ … Read More → "Embedded Vision on Mobile Devices"

Computing engines have always been considered pretty dumb. Even when they’re in our smart phones. The classic articulation of this is the fact that they do exactly what we tell them to do; the problem is that this may not be exactly what we want them to do.

A simple phone example is the infuriating obedience that a phone pays to moving to a landscape orientation when the phone goes sideways – even when we’re lying on our sides trying to read the thing in portrait mode. If the phone were able … Read More → "Context Matters"