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In the last twenty
years or so computers and other electronic equipment have become increasingly
important for vision research. This is because they provide a flexible
way to generate many kinds of stimuli which may be altered or adjusted
in reply to an external input such as a subject's response. Although
popular, these systems have many limitations from an engineering point
of view and it is therefore important that the vision researcher should
have good understanding of the way they work, what the potential problems
and pitfalls are and how they may be minimised. It is also necessary
to have a quantitative knowledge of the deficiencies so that the researcher
can decide whether or not they are significant in the desired situation.
In many cases, it is possible to augment a particular parameter of the
system by trading it off against another, so an idea of relative priorities
is needed too.
A basic system for vision research consists of a computer, which
is often an IBM-type PC or MAC and a cathode ray tube (CRT) display monitor.
The monitor may be the same one as that used to control the computer but
is usually a separate and more fancy device that can be sited remotely;
in a darkened room for example. In addition to the basic system, the user
can add devices for capturing images from the real world such as ccd cameras
or CD-ROMs, devices for producing hard copy such as laser printers, devices
for producing special effects such as stereo glasses and devices for calibrating
the system (very important). Video monitor configurations are not the only
possible uses for computers in vision research but they are certainly the
most popular and cause the most trouble so they are the ones we shall consider
here. In this chapter we shall start by reviewing some of the fundamental
aspects of using digital systems in an analog world and discuss a few of
the engineering terms and concepts that are used by equipment designers
and suppliers. After that, we will describe the principle of operation
of some of the commonly used equipment and show how they can be used to
generate different stimuli. Finally we will mention some of the other miscellaneous
aspects not covered elsewhere. In order to keep things simple, the scope
of the chapter is mainly confined to monochromatic stimuli and throughout,
the approach will be largely non-mathematical and the reader referred to
one of the many of the books available for a more rigorous discussion.
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