Tuesday, October 19, 2010

Duchowski: Neurological Substrate of the HVS

  • Field of view is inspected through brief fixations over small regions of interest
  • Central foveal vision lies between a visual angle of 1°-5° (this is the answer to the question in the previous post) => on a 21" monitor(distance ~60cm), the attention of the user is only on 3% of the picture
  • Approx. 90% of viewing time is spent on fixations
This chapter of the book examines the neural substrate of the human visual system, from the intuitive attentional perspective (pretty complex stuff...)

2.1 The Eye
Often called the "world's worst camera", as it suffers from numerous optical imperfections
  • spherical aberrations: prismatic effect of peripheral parts of the lens - HOWEVER: iris acts as a stop, limiting peripheral entry of light rays
  • chromatic aberrations: shorter wavelengths (blue) refracted more than longer wavelengths (red) - HOWEVER: the eye is typically focused to produce sharp images of intermediate wavelengths
  • curvature of the field: a planar object gives rise to a curved image - HOWEVER: the retina in curved compensating for this effect
2.2 The Retina
  • rear interior surface of the eye, which contains receptors sensitive to light (photoreceptors), which constitute the first stage of visual perception
  • photoreceptors: convert light energy to electrical impulses
  • photoreceptors are further classified into rods (dim and achromatic light: night vision) and cones (brighter chromatic light: daylight vision)
2.4.1 Motion-Sensitive Single-Cell Physiology
    • Microsaccades!! If there were no such microsaccades, the image would fade within a second and the scene would go black

      1 comment:

      1. Hi Dan! Physiological facts alone eplain next to nothing. May I cite David Marr: "The key observation is that neurophysiology and psychophysics have as their business to *describe* the behavior of cells or of subjects but not to *explain* such behavior. [...] The best way of finding out the difficulties of doing something is to try to do it, so at this point I moved to the Artificial Intelligence Laboratory at MIT, [...] The first great revelation was that the problems are difficult. Of course, these days this fact is a commonplace. But in the 1960s almost no one realized that machine vision was difficult. [...] The reason for this misperception is that we humans are ourselves so good at vision." (Marr, pp 15-16)

        Marr, D. (1982). Vision. A Computational Investigation into the Human Representation and Processing of Visual Information. W.H. Freeman and Company.

        There is a nice 2010 reprint of this seminal book by MIT Press.

        Cheers,
        Walter Piechulla

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