Vision (What's wrong with Marr's model)

[Frank Smieja]

I received the following suggestions for alternative (or more modern)
views on  the vision problem,  as opposed to the Marr viewpoint.
Thanks very much to those who replied.


Young, D.S. (1990). Quantitative ecological optics. In Ph. Jorrand & V.
Sgurev (Eds.), Artificial Intelligence IV: Methodology, Systems,
Applications (pp. 423-431). Amsterdam: North-Holland

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A. Sloman
`On designing a visual system:
Towards a Gibsonian computational model of vision'
Journal of Experimental and Theoretical AI
1,4, 1989

It is concerned with fairly high level design requirements for a visual
system that needs to be able to cope with real-time constraints, optical
information of variable quality, a multitude of different uses for
vision and, and many different links between the vision sub-system and
various other sub-systems.

Aaron Sloman,
School of Cognitive and Computing Sciences,
Univ of Sussex, Brighton, BN1 9QH, England
    EMAIL   aarons at cogs.sussex.ac.uk
or:
            aarons%uk.ac.sussex.cogs at nsfnet-relay.ac.uk

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D. Weinshal and S. Edelman, "Computational Vision: A Critical Review",
MIT-AI Technical Report #??? (sorry!), 1989, and
 
@article{Hild87,
        author =        "E. C. Hildreth and C. Koch",
        year =          "1987",
        journal =       "Annual Reviews of Neuroscience",
        volume =        "10",
        pages =         "477-533",
        title =         "The Analysis of Visual Motion: From Computation Theory
to Neuronal Mechanisms"
}
 
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I have written two papers that call into doubt Marr & Nishihara's
proposals about shape recognition being accomplished by matching
object-centered, viewpoint-independent shape representations.
They are:

Tarr, M. J. & Pinker, S. (1989) Mental rotation and
orientation-dependence in shape recognition.  @i[Cognitive
Psychology, 21], 233-282.

Tarr, M. J. & Pinker, S. (1990) When does human object recognition use
a viewer-centered recognition frame? @i[Psychological Science,  1], 
253-256.

--Steve Pinker

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