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  1. The Senses Considered as Perceptual Systems.D. W. Hamlyn & James J. Gibson - 1968 - Philosophical Review 77 (3):361.
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  • Vision.David Marr - 1982 - W. H. Freeman.
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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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  • 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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  • Ordinal structure in the visual perception and cognition of smoothly curved surfaces.James T. Todd & Francene D. Reichel - 1989 - Psychological Review 96 (4):643-657.
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  • (1 other version)On the failure to detect changes in scenes across saccades.John A. Grimes - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview Pub. Co.
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  • Generalization to Novel Images in Upright and Inverted Faces.Shimon Edelman - unknown
    An image of a face depends not only on its shape, but also on the viewpoint, illumination conditions, and facial expression. A face recognition system must overcome the changes in face appearance induced by these factors. This paper investigate two related questions: the capacity of the human visual system to generalize the recognition of faces to novel images, and the level at which this generalization occurs. We approach this problems by comparing the identi cation and generalization capacity for upright and (...)
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  • (2 other versions)Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Representation, similarity, and the chorus of prototypes.Shimon Edelman - 1995 - Minds and Machines 5 (1):45-68.
    It is proposed to conceive of representation as an emergent phenomenon that is supervenient on patterns of activity of coarsely tuned and highly redundant feature detectors. The computational underpinnings of the outlined concept of representation are (1) the properties of collections of overlapping graded receptive fields, as in the biological perceptual systems that exhibit hyperacuity-level performance, and (2) the sufficiency of a set of proximal distances between stimulus representations for the recovery of the corresponding distal contrasts between stimuli, as in (...)
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  • Binding in models of perception and brain function.Christoph von der Malsburg - 1995 - Current Opinion in Neurobiology 5:520-28.
    The development of the issue of binding as fundamental to neural dynamics has made possible recent advances in the modeling of difficult problems of perception and brain function. Among them is perceptual segmentation, invariant pattern recognition and one-shot learning. Also, longer-term conceptual developments that have led to this success are reviewed.
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  • Is the richness of our visual world an illusion? Transsaccadic memory for complex scenes.Susan J. Blackmore, Gavin Brelstaff, Katherine Nelson & Tom Troscianko - 1995 - Perception 24:1075-81.
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  • Animate vision.Dana H. Ballard - 1991 - Artificial Intelligence 48 (1):57-86.
    Animate vision systems have gaze control mechanisms that can actively position the camera coordinate system in response to physical stimuli. Compared to passive systems, animate systems show that visual computation can be vastly less expensive when considered in the larger context of behavior. The most important visual behavior is the ability to control the direction of gaze. This allows the use of very low resolution imaging that has a high virtual resolution. Using such a system in a controlled way provides (...)
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  • Recovering surface shape and orientation from texture.Andrew P. Witkin - 1981 - Artificial Intelligence 17 (1-3):17-45.
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  • Interpreting line drawings as three-dimensional surfaces.H. G. Barrow & J. M. Tenenbaum - 1981 - Artificial Intelligence 17 (1-3):75-116.
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  • Retrospective on “Interpreting line drawings as three-dimensional surfaces”.Harry G. Barrow & J. M. Tenenbaum - 1993 - Artificial Intelligence 59 (1-2):71-80.
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