[opendtv] Re: opendtv Digest V7 #147

  • From: "Leonard Caillouet" <lcaillo@xxxxxxxxxxxx>
  • To: <opendtv@xxxxxxxxxxxxx>
  • Date: Sun, 20 Jun 2010 09:02:16 -0400

I think Tom is correct. Human perception is a very complex system. The use of models that simplify it are, however, essential to understanding. We do this all the time in science, and invariably, the simplifying assumptions that are used to model complex systems demonstrate limitations. This was demonstrated mathematically (Godel) and in physics (Heisenberg) many times over in the early part of the last century. I think the take home point is that we have to look at simplified views of human vision and perception for what they can provide, but not take them too seriously for the big picture. Both the forest and the trees are essential.


Cognitive scientists for many years tried to "black box" the human perceptual system and human behavior in general. Dynamic systems proponents rejected this for a more system oriented approach. The results of the latter have been instructive, but it has become apparent over the past couple of decades that both approaches have something to learn from each other.

Leonard Caillouet MS, MST, ISF
Gainesville, FL

--------------------------------------------------
From: "Tom Barry" <trbarry@xxxxxxxxxxx>
Sent: Sunday, June 20, 2010 8:31 AM
To: <opendtv@xxxxxxxxxxxxx>
Subject: [opendtv] Re: opendtv Digest V7 #147

Albert Manfredi wrote:
...
Enfin bref, I THINK that even if you interpret these effects as simple sampling theory, the brain seems to react differently to different stimuli. My bet is, the brain is smart enough to spend a lot less processing time on easy situations (e.g. low sampling rate), and to assign more processing power to difficult cases.

Bert

In my own humble and totally non-scientific opinion I think the human
perceptual system has evolved a bazillion special purpose recognizers
for things that are of interest to us, such as finding food, mating
partners, and shelter, avoiding danger, and a very large part for
communicating and cooperating with each other to jointly achieve such
goals.  It may not be easy to study one such sub-system without
understanding the interaction with the others.

For instance, how much of the HVS is just optimized to read postures and
facial expressions on other humans?

And I'm not sure whether I completely buy the idea of discrete visual
temporal sampling.  It seems if we were doing this then some real world
(non-TV) wagon wheels would appear to be moving backwards when rotating
at certain speeds.  Excluding situations under flickering lighting I
don't think I have ever observed such.  Has this been studied?

Finally, I guess I don't really understand POV.  Would it really be
distinguishable from the temporal low pass filtering caused by analog
processing delay?

- Tom



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