Here's what I was reaching for in my last post to Matt - it represents a
profound change in vision philosophy (and helps explain why current
AI/scientific approaches to vision (& everything else) are so mindblowingly
fragmented and simplistic).
Vision is always "visual scene recognition" and never just "visual object
recognition".
To realise this, look at how you look at four pictures:
http://media.oregonlive.com/portland_impact/photo/barber-shootingjpg-fca82e981d021b3b.jpg
http://www.forgotmylines.com/wp-content/uploads/2010/07/ReasonstobePrettyFIghtScene.jpg
http://2.bp.blogspot.com/_ASZ1J20yTgQ/TLuZJT-TgXI/AAAAAAAAAA0/ps7cifXlBWo/s1600/DSC01098.JPG
http://simonhalliday.files.wordpress.com/2009/03/library8003.jpg
What you see - what "visual scene recognition" means first of all - is
[seeing] **object[s]-in-a- field**
You see - a policeman putting up a tape on a street, kids fighting on a
playground[or similar], a guy playing tennis on a tennis court, books and
candles on a table in some kind of library.
You don't just see isolated objects - you automatically see
objects-doing-things-in-a-field. You aren't just aware vaguely of the
"gestalt" or the "context", which is the vague way some vision philosophy
has thought about these things. You immediately look to see what the
principal objects are doing in that whole field. Your life in the real
world depends on quickly working that out - otherwise that
car/animal/falling masonry may hit you. Every scene is potentially
dangerous.
But current AI and scientific thinking never - characteristically - "sees
the big picture". AI and science metacognitively only see isolated
objects - they see the world like this:
http://www.freevector.com/site_media/preview_images/FreeVector-People-Vector-Art.jpg
They don't see or look for the scene - the field surrounding those objects,
and what those objects are doing in (& how they're relating to) that field.
And this applies to everything AI touches. Its vision is always fragmented.
It sees only fragmented words and sentences:
http://img2.etsystatic.com/000/0/5464342/il_fullxfull.130745770.jpg
It never sees the text as a whole. And human readers always read
sentences-in-a-text, (and talk sentences-in-a-conversation), never just
sentences.
But even "visual scene recognition" is too simplistic!
Actually, it's always "visual movie theatre recognition".
Human vision is never vision of just a scene out there. It's simultaneously
:
"vision of an observer (oneself) viewing the scene" [/objects in a field].
The acting observer seeing as well as the scene seen.
We always see ourselves watching the scene - are always aware of the point
of view of the scene, and its distance from us (as I have detailed before on
this forum). In real life, of course, we are normally acting in that field
and moving through it - and the position of objects in relation to us is
vital information..
And then "visual movie theatre recognition" entails not just visual-scene,
but visual-scene-in-a-MOVIE recognition!! (in a whole story!)
We don't just see a scene in an isolated moment in time, but are aware of it
as a scene-in-a-stream-of-scenes - a movie
We don't just see objects in a field in a timeless moment - - we place them
as moving in time as well as space . When we look at those kids fighting, we
don't just see them occupying isolated postures - we see them as moving in
time - having started a fight beforehand, and still to finish it. When we
look at the policeman we are aware that he has come up to that tape in the
past, and will move away from it in the future.
And similarly, we don't just see objects-in-a-field, but
objects-in-a-field-in-a-WORLD. As objects not just in a single "theatre of
operations" but a whole world-of-operations. We are aware of the fields
that lie beyond the immediate field - what lies beyond the movie theatre -
this may be crucial to understanding what is happening We couldn't
understand this picture if our vision were confined to the immediate
wing/field shown, and not the fields beyond the picture:
http://www.google.co.uk/imgres?um=1&hl=en&biw=1645&bih=767&tbm=isch&tbnid=lBHESwvnTIYWOM:&imgrefurl=http://www.advrider.com/forums/showthread.php%3Ft%3D499369%26page%3D26&docid=Uoxo7hdI1Bj4MM&imgurl=http://rookery2.viary.com/storagev12/1189500/1189682_2b3b_625x625.jpg&w=399&h=300&ei=m6deUbWqHeOm0QWjtYDIBw&zoom=1&ved=1t:3588,r:22,s:0,i:153&iact=rc&dur=2325&page=1&tbnh=184&tbnw=251&start=0&ndsp=28&tx=130&ty=89
And actually - well you knew this was coming, right? - we don't just see
"objects" - lifeless things. We see BODIES. We always see bodies. We're
always aware of how those bodies move - whether they're alive or dead - and
how they're moving.
And "visual body recognition" is always EMBODIED. You can't understand how
other bodies - especially other human bodies - move if you haven't got a
body yourself - and can't use that body to simulate how other bodies do and
will move.
So let's see [!] what we have here.
"Visual recognition" - human vision - is a helluva lot more than "visual
object recognition". "Visual scene recognition" is a bare minimum "Visual
movie theatre recognition" is more like it.
And that means embodied-vision-of-a-viewer-viewing-objects/bodies-moving-
at-points-in-a-stream-of-=movement- in-a-field-within-a-world-of-fields.
And that's the easy-peasy part. Then we get on to understanding language -
and general conceptualisation - which deals with whole classes of object -in
whole classes of fields etc. in whole classes of world
Vision then entails not just the small , scientific, fragmented, narrow,
narrow-minded, totally blinkered picture of objects, but the big, artistic,
integrated, broad-minded, panoramic picture of what lies beyond that object
in space and time - in a field in a world of fields, in a scene in a stream
of scenes.
How many quadrillions you got, Matt?
-------------------------------------------
AGI
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