Central vision is the term used to refer to the part of the visual field you are most directly focused on, and concentrating on at any given time. It is the area of the eye with the highest resolution, as light is focused on tightly packed cells in the middle of the retina. In order to function, from a visual input point of view, any VR has to deliver a level of detail and update rate greater than the capability of the user?s central vision to discern, in order to be realistic and believable.
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A group of researchers from UC Santa Barbara have been comparing the human visual system to machine vision systems from an architectual and programming perspective, to see what, exactly makes human vision systems more efficient - and gain some insight on how to replicate that.
Unlike in the peripheral nervous system, where cells are often unable to distinguish which branching pathway an electrical system is travelling from, the central nervous system makes use of sophisticated internal networks not too dissimilar from an IP record, to differentiate between nervous pathways.
This book gives senior undergraduate and beginning graduate students and researchers in computer vision, applied mathematics, computer graphics, and robotics a self-contained introduction to the geometry of 3D vision; that is the reconstruction of 3D models of objects from a collection of 2D images.
There are a few, albeit exceedingly rare cases, where after a lifetime of blindness, a human's vision is naturally restored. These cases, properly studied, are yielding impressive amounts of data on how a vision system forms in a mature mind - and thus how to recreate the same, in machine vision.
A basic problem in computer vision is to understand the structure of a physical sceene from just one or two camera?s perspective. This book attempts to provide a basic background in everything you need to know to be able to create a computer vision system, and train it to deal with the physical world.
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.
There are twelve cranial nerve pairings (making 24 nerves in total) which split out from the brain, and move to cover the needs of the cranium and face, rather than make their way down through the central spinal cord. These nerves are important to consider, as most are of critical importance to sensory data, yet do not pass through the central cord, and so cannot be intercepted at the same juncture.
The five-year tale of Bob Mottram's quest to create a general purpose machine vision with two eyes, able to see the world how humans do.
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Complete Website: MUX 2.2
The homepage, and development central of the MUX 2.2 codebase. All versions can be found here.
Industry News containing the Term Central Vision:
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People who lose vision after stroke can have their brain rewired to see again.
Called vision restoration therapy, the treatment involves identifying and stimulating regions in the visual field that are only partly damaged.
People who have eye diseases that damage their central vision can regain the ability to read quickly and comfortably by using digital tablets, according to a recent study. The research found that people with moderate vision loss could incre...
June 13, June 18 2010
San Francisco, California, USA
Papers in the main technical program must describe high-quality, original research.
Topics of interest include all aspects of computer vision and pattern reco...
Scientists studying a mysterious neurological affliction in cats have discovered a surprising ability of the central nervous system to repair itself and restore function.
In a study published today in the Proceedings of the N...
A new night-vision system developed for the Dutch military makes night-time video images look as clear and colourful as those shot in broad daylight.
The idea was to improve on the fuzzy grey or green pictures that are the ha...