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  1. Geometric reasoning for constructing 3D scene descriptions from images.Ellen Lowenfeld Walker & Martin Herman - 1988 - Artificial Intelligence 37 (1-3):275-290.
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  • Preattentive recovery of three-dimensional orientation from line drawings.James T. Enns & Ronald A. Rensink - 1991 - Psychological Review 98 (3):335-351.
    It has generally been assumed that rapid visual search is based on simple features and that spatial relations between features are irrelevant for this task. Seven experiments involving search for line drawings contradict this assumption; a major determinant of search is the presence of line junctions. Arrow- and Y-junctions were detected rapidly in isolation and when they were embedded in drawings of rectangular polyhedra. Search for T-junctions was considerably slower. Drawings containing T-junctions often gave rise to very slow search even (...)
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  • Recognition-by-components: A theory of human image understanding.Irving Biederman - 1987 - Psychological Review 94 (2):115-147.
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  • Perception as Abduction: Turning Sensor Data Into Meaningful Representation.Murray Shanahan - 2005 - Cognitive Science 29 (1):103-134.
    This article presents a formal theory of robot perception as a form of abduction. The theory pins down the process whereby low‐level sensor data is transformed into a symbolic representation of the external world, drawing together aspects such as incompleteness, top‐down information flow, active perception, attention, and sensor fusion in a unifying framework. In addition, a number of themes are identified that are common to both the engineer concerned with developing a rigorous theory of perception, such as the one on (...)
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  • I trabocchetti della rappresentazione spaziale.Roberto Casati & Achille C. Varzi - 1999 - Sistemi Intelligent 11 (1):7–28.
    This is a position article summarizing our approach to the philosophy of space and spatial representation. Our concern is mostly methodological: above all, we argue that a number of philosophical puzzles that arise in this field—puzzles concerning the nature of spatial entities, their material and mereological constitution, their relationship with the space that they occupy—stem from a confusion between semantic issues and true metaphysical concerns.
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  • Generating and generalizing models of visual objects.Jonathan H. Connell & Michael Brady - 1987 - Artificial Intelligence 31 (2):159-183.
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  • A multi-level geometric reasoning system for vision.Michele Barry, David Cyrluk, Deepak Kapur, Joseph Mundy & Van-Duc Nguyen - 1988 - Artificial Intelligence 37 (1-3):291-332.
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  • Analogical representations of naive physics.Francesco Gardin & Bernard Meltzer - 1989 - Artificial Intelligence 38 (2):139-159.
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  • Geometric reasoning and artificial intelligence: Introduction to the special volume.Deepak Kapur & Joseph L. Mundy - 1988 - Artificial Intelligence 37 (1-3):1-11.
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  • A logical framework for depiction and image interpretation.Raymond Reiter & Alan K. Mackworth - 1989 - Artificial Intelligence 41 (2):125-155.
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  • Recognition of object classes from range data.I. D. Reid & J. M. Brady - 1995 - Artificial Intelligence 78 (1-2):289-326.
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  • Putting knowledge into a visual shape representation.Eric Saund - 1992 - Artificial Intelligence 54 (1-2):71-119.
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  • Salience of visual parts.Donald D. Hoffman & Manish Singh - 1997 - Cognition 63 (1):29-78.
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  • Artificial intelligence and robotics.Michael Brady - 1985 - Artificial Intelligence 26 (1):79-121.
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  • Constraint propagation with interval labels.Ernest Davis - 1987 - Artificial Intelligence 32 (3):281-331.
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  • On the parallel complexity of discrete relaxation in constraint satisfaction networks.Simon Kasif - 1990 - Artificial Intelligence 45 (3):275-286.
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  • The Spatial Semantic Hierarchy.Benjamin Kuipers - 2000 - Artificial Intelligence 119 (1-2):191-233.
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  • A cognitive architecture for artificial vision.A. Chella, M. Frixione & S. Gaglio - 1997 - Artificial Intelligence 89 (1-2):73-111.
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  • Qualitative kinematics in mechanisms.Boi Faltings - 1990 - Artificial Intelligence 44 (1-2):89-119.
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  • Aligning pictorial descriptions: An approach to object recognition.Shimon Ullman - 1989 - Cognition 32 (3):193-254.
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  • The Manipulation of Images to Handle Indeterminacy in Spatial Reasoning.Thomas R. Ioerger - 1994 - Cognitive Science 18 (4):551-593.
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  • Visual surveillance in a dynamic and uncertain world.Hilary Buxton & Shaogang Gong - 1995 - Artificial Intelligence 78 (1-2):431-459.
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  • Planning routes through uncertain territory.Drew McDermott & Ernest Davis - 1984 - Artificial Intelligence 22 (2):107-156.
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  • Qualitative and quantitative simulation: bridging the gap.Daniel Berleant & Benjamin J. Kuipers - 1997 - Artificial Intelligence 95 (2):215-255.
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  • Model simplification by asymptotic order of magnitude reasoning.Kenneth Man-kam Yip - 1996 - Artificial Intelligence 80 (2):309-348.
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  • Constraints on deformable models:Recovering 3D shape and nonrigid motion.Demetri Terzopoulos, Andrew Witkin & Michael Kass - 1988 - Artificial Intelligence 36 (1):91-123.
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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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  • Geometric relationships between toleranced features.Alan Fleming - 1988 - Artificial Intelligence 37 (1-3):403-412.
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  • A tunable distance measure for coloured solid models.Janet Aisbett & Greg Gibbon - 1994 - Artificial Intelligence 65 (1):143-164.
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