Vision modeling

    According to numerous requests related to the previous post on how the eyes perceive the picture, I decided to try to talk about how you can simulate eye tracking technology. One came up with a rather large text about vision and perception of flat images, which I divided into 6 parts.

    Vision modeling

    Part one. Excursion into the eye
    In order to understand how a person perceives an image, you have to start with the organ of vision - from the eye. An important point for further understanding besides the anatomical structure of the eye is the limitations of the resolution of the eye, which I will describe here. If you know all this, then you can only skim through the selected pieces of text and immediately proceed to the second part.

    Part two. Perception
    This post talks about some of the features of human perception occurring even at the level of the retina (before the analysis of the picture in the brain). Bold highlights moments directly related to the topic of modeling.

    Part three. Geometry of vision
    This part is important for understanding the principles of eye tracking modeling, and for one it tells some interesting things about the angle and clarity of vision.

    Part Four. Eye tracking
    This part discusses what eye tracking is, and what psychological and biological mechanisms are behind this definition.

    Part Five How to catch a glance
    Continuing the story, begun in the fourth part about saccades and their modeling, it is necessary to talk about such phenomena as eye traps and indistinguishability zones. It also tells a little bit about how to attract attention, or vice versa, to distract pictures from some regions.

    Part Six Modeling eye tracking
    The story directly about the principles and algorithms of modeling eye tracking.

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