Are you hinting that if we focus better and apply our brains more fully,
we can get a higher level of understanding of ontology, one e-mail at a
On 13/02/2014 8:54 AM, John F Sowa wrote:
> Cameras with more and more pixels are common. But the latest research
> is revolutionizing the technology by using cameras with just a single
> pixel. See the URL and excerpts below.
> This R & D is important for practical applications. But it also helps
> us understand how the brain can create a unified, stable 3D image of
> a scene from multiple pairs of 2D images from eyes that are constantly
> flitting from one part of the scene to another.
> Furthermore, each eye only has high resolution for a small spot in
> the center. Yet we can "look at" a fixed spot and get the impression
> a stable image, even though the eyes are in motion.
> There is a huge amount of computation going on in the brain. Research
> on biological systems and on engineering methods is complementary.
> Insights from either one suggest new directions for research in the
> First 3D Movies From a Single Pixel Camera
> Single pixel cameras are taking the world of imaging by storm. These
> counterintuitive devices have the ability to photograph an entire scene
> in 3D and at a resolution of choice using a single pixel. Some versions
> do not even need a lens. These resultant images are entirely free of the
> optical aberrations that lenses can introduce; indeed the entire scene
> is always in focus...
> Single pixel cameras rely on a technique known as compressed sensing.
> The idea is to pass the light from a scene through a medium that
> randomises it and then focuses it on to a single pixel. This randomising
> medium could be a piece of frosted glass, a spatial light modulator or,
> as in this case, a digital micro-mirror device in which the mirrors are
> arranged at random...
> The signals picked up by the single pixel may seem random but in fact
> they are correlated because they all come from the same source–the
> original scene.
> So the trick behind compressed sensing is to analyse the data in a way
> that finds this correlation. Once the correlation is known, it is
> relatively straightforward to reconstruct the original scene.
> That produces a simple 2D image with a resolution that depends on the
> number of single pixel samples that have been taken.
> Making 3D image is straightforward too. For this, the scene must be
> illuminated by a laser light and the single-pixel circuitry gated so
> that it is sensitive for a short instant after the illumination, when
> the light bounces back.
> In this way, it is possible to sample light that returns from a specific
> distance from the camera. And by changing the timing of the gating, it
> is possible to build up an entire 3D image.
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