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  1. On seeing things.M. B. Clowes - 1971 - Artificial Intelligence 2 (1):79-116.
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  • Symbolic reasoning among 3-D models and 2-D images.Rodney A. Brooks - 1981 - Artificial Intelligence 17 (1-3):285-348.
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  • The Senses Considered as Perceptual Systems.Charles K. West & James J. Gibson - 1969 - Journal of Aesthetic Education 3 (1):142.
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  • Visual routines.Shimon Ullman - 1984 - Cognition 18 (1-3):97-159.
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  • Feature analysis in early vision: Evidence from search asymmetries.Anne Treisman & Stephen Gormican - 1988 - Psychological Review 95 (1):15-48.
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  • Controlled and automatic human information processing: I. Detection, search, and attention.Walter Schneider & Richard M. Shiffrin - 1977 - Psychological Review 84 (1):1-66.
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  • Perceptual organization and the representation of natural form.Alex P. Pentland - 1986 - Artificial Intelligence 28 (3):293-331.
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  • Interpreting pictures of polyhedral scenes☆.A. K. Macworth - 1973 - Artificial Intelligence 4 (2):121-137.
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  • Three-dimensional object recognition from single two-dimensional images.David G. Lowe - 1987 - Artificial Intelligence 31 (3):355-395.
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  • Understanding objects with curved surfaces from a single perspective view of boundaries.Shih Jong Lee, Robert M. Haralick & Ming Chua Zhang - 1985 - Artificial Intelligence 26 (2):145-169.
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  • Computers and Intractability. A Guide to the Theory of NP-Completeness.Michael R. Garey & David S. Johnson - 1983 - Journal of Symbolic Logic 48 (2):498-500.
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  • Visual search and stimulus similar¬ity.John Duncan & Glyn W. Humphreys - 1989 - Psychological Review 96 (3):433-458.
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  • The Senses Considered as Perceptual Systems.James Jerome Gibson - 1966 - Boston, USA: Houghton Mifflin.
    Describes the various senses as sensory systems that are attuned to the environment. Develops the notion of rich sensory information that specifies the distal environment. Includes a discussion of affordances.
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  • Sensitivity to three-dimensional orientation in visual search.James T. Enns & Ronald A. Rensink - 1990 - Psychological Science 1 (5):323-326.
    Previous theories of early vision have assumed that visual search is based on simple two-dimensional aspects of an image, such as the orientation of edges and lines. It is shown here that search can also be based on three-dimensional orientation of objects in the corresponding scene, provided that these objects are simple convex blocks. Direct comparison shows that image-based and scene-based orientation are similar in their ability to facilitate search. These findings support the hypothesis that scene-based properties are represented at (...)
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  • Influence of scene-based properties on visual search.James T. Enns & Ronald A. Rensink - 1990 - Science 247:721-723.
    The task of visual search is to determine as rapidly as possible whether a target item is present or absent in a display. Rapidly detected items are thought to contain features that correspond to primitive elements in the human visual system. In previous theories, it has been assumed that visual search is based on simple two-dimensional features in the image. However, visual search also has access to another level of representation, one that describes properties in the corresponding three-dimensional scene. Among (...)
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  • Controlled and automatic human information processing: I.Walter E. Schneider & Richard M. Shiffrin - 1977 - Detection, Search, and Attention. Psychological Review 84:1-66.
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