Results for '*Object Recognition'

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  1.  38
    Hierarchies, Similarity, and Interactivity in Object Recognition: “Category-Specific” Neuropsychological Deficits.Glyn W. Humphreys & Emer M. E. Forde - 2001 - Behavioral and Brain Sciences 24 (3):453-476.
    Category-specific impairments of object recognition and naming are among the most intriguing disorders in neuropsychology, affecting the retrieval of knowledge about either living or nonliving things. They can give us insight into the nature of our representations of objects: Have we evolved different neural systems for recognizing different categories of object? What kinds of knowledge are important for recognizing particular objects? How does visual similarity within a category influence object recognition and representation? What is the nature of our (...)
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  2.  15
    Orientation-Invariant Object Recognition: Evidence From Repetition Blindness.Irina M. Harris & Paul E. Dux - 2005 - Cognition 95 (1):73-93.
    The question of whether object recognition is orientation-invariant or orientation-dependent was investigated using a repetition blindness (RB) paradigm. In RB, the second occurrence of a repeated stimulus is less likely to be reported, compared to the occurrence of a different stimulus, if it occurs within a short time of the first presentation. This failure is usually interpreted as a difficulty in assigning two separate episodic tokens to the same visual type. Thus, RB can provide useful information about which representations (...)
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  3.  21
    On the Neural Correlates of Object Recognition Awareness: Relationship to Computational Activities and Activities Mediating Perceptual Awareness.Terence V. Sewards & Mark A. Sewards - 2002 - Consciousness and Cognition 11 (1):51-77.
    Based on theoretical considerations of Aurell (1979) and Block (1995), we argue that object recognition awareness is distinct from purely sensory awareness and that the former is mediated by neuronal activities in areas that are separate and distinct from cortical sensory areas. We propose that two of the principal functions of neuronal activities in sensory cortex, which are to provide sensory awareness and to effect the computations that are necessary for object recognition, are dissociated. We provide examples of (...)
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  4. Learning to Be Variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object Recognition.L. Austerweil Joseph, L. Griffiths Thomas & E. Palmer Stephen - 2016 - Cognitive Science 41 (3):1183-1201.
    How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set. However, invariance over rotations has proven difficult to analyze, because it applies to some objects but not others. We propose that the invariant transformations of an object are learned by incorporating prior expectations with real-world evidence. We (...)
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  5. Learning to Be Variant: Combining Prior Knowledge and Experience to Infer Orientation Invariance in Object Recognition.L. Austerweil Joseph, L. Griffiths Thomas & E. Palmer Stephen - 2016 - Cognitive Science 41 (3):1183-1201.
    How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set. However, invariance over rotations has proven difficult to analyze, because it applies to some objects but not others. We propose that the invariant transformations of an object are learned by incorporating prior expectations with real-world evidence. We (...)
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  6.  12
    Object Recognition and Random Image Structure Evolution.Javid Sadr & Pawan Sinha - 2004 - Cognitive Science 28 (2):259-287.
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  7.  5
    Importance of Object Recognition in Size Constancy.Robert C. Bolles & Daniel E. Bailey - 1956 - Journal of Experimental Psychology 51 (3):222.
  8. The Relationship of Visual Masking and Basic Object Recognition in Healthy Observers and Patients with Schizophrenia.Michael H. Herzog - 2006 - In Gmen, Haluk; Breitmeyer, Bruno G. (2006). The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. (Pp. 259-274). Cambridge, Ma, Us: Mit Press. Xi, 410 Pp.
     
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  9.  63
    Object Recognition is Not Predication.Jean-Louis Dessalles & Laleh Ghadakpour - 2003 - Behavioral and Brain Sciences 26 (3):290-291.
    Predicates involved in language and reasoning are claimed to radically differ from categories applied to objects. Human predicates are the cognitive result of a contrast between perceived objects. Object recognition alone cannot generate such operations as modification and explicit negation. The mechanism studied by Hurford constitutes at best an evolutionary prerequisite of human predication ability.
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  10.  53
    Complex Cells and Object Recognition.Shimon Edelman - unknown
    Nearest-neighbor correlation-based similarity computation in the space of outputs of complex-type receptive elds can support robust recognition of 3D objects. Our experiments with four collections of objects resulted in mean recognition rates between 84% and 94%, over a 40 40 range of viewpoints, centered on a stored canonical view and related to it by rotations in depth. This result has interesting implications for the design of a front end to an arti cial object recognition system, and for (...)
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  11.  2
    How Do Animals Solve Object-Recognition Tasks?Dave G. Mumby - 1999 - Behavioral and Brain Sciences 22 (3):461-462.
    This commentary reviews recent evidence that some hippo- campal functions do not depend on perirhinal inputs and discusses how the multiple-process model of recognition may shed interpretive light on previous reports of DNMS reacquisition deficits in pretrained subjects with hippocampal damage. Suggestions are made for determining whether nonhuman subjects solve object-recognition tasks using recollective memory or familiarity judgments.
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  12. SiMOR: Single Moving Object Recognition.V. N. Manjunath Aradhya, D. R. Ramesh Babu, M. Ravishankar & M. T. Gopala Krishna - 2011 - Journal of Intelligent Systems 20 (1):33-45.
    Automatic moving object detection and tracking is very important task in video surveillance applications. In the present work the well known background subtraction model and use of Gaussian Mixture Models have been used to implement a robust automated single object tracking system. In this implementation, background subtraction on subtracting consecutive frame-by-frame basis for moving object detection is done. Once the object has been detected it is tracked by employing an efficient GMM technique. After successful completion of tracking, moving object (...) of those objects using well known Principal Component Analysis, which is used for extracting features and Manhattan based distance metric is used for subsequent classification purpose. The system is capable of handling entry and exit of an object. Such a tracking system is cost effective and can be used as an automated video conferencing system and also has applications like human tracking, vehicles monitoring, and event recognition for video surveillance. The proposed algorithm was tested on standard database on complex environments and the results were satisfactory. (shrink)
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  13.  58
    (Object Recognition/Multidimensional Scaling/Computational Model).Shimon Edelman - unknown
    differentiaily rated pairwise similarity when confronted with two pairs of objects, each revolving in a separate window on a computer screen. Subject data were pooled using individually weighted MDS (ref. 11; in all the experiments, the solutions were consistent among subjects). In each trial, the subject had to select among two pairs of shapes the one consisting of the most similar shapes. The subjects were allowed to respond at will; most responded within 10 sec. Proximity (that is, perceived similarity) tables (...)
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  14. Perception and Cognition: The Analysis of Object Recognition.Ulrike Pompe - 2011 - Mentis.
  15. Visual Agnosia: Disorders of Object Recognition and What They Tell Us About Normal Vision.Martha J. Farah - 1990 - MIT Press.
  16.  54
    Visual Crowding: A Fundamental Limit on Conscious Perception and Object Recognition.Whitney David & M. Levi Dennis - 2011 - Trends in Cognitive Sciences 15 (4):160-168.
  17.  50
    The Role of Context in Object Recognition.Aude Oliva & Antonio Torralba - 2007 - Trends in Cognitive Sciences 11 (12):520-527.
  18. Observations on Cortical Mechanisms for Object Recognition and Learning.Tomaso Poggio & Anya Hurlbert - 1994 - In Christof Koch & J. Davis (eds.), Large-Scale Neuronal Theories of the Brain. MIT Press. pp. 153--182.
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  19.  3
    Aligning Pictorial Descriptions: An Approach to Object Recognition.Shimon Ullman - 1989 - Cognition 32 (3):193-254.
  20.  34
    Untangling Invariant Object Recognition.James J. DiCarlo & David D. Cox - 2007 - Trends in Cognitive Sciences 11 (8):333-341.
  21. After the Viewpoint Debate: Where Next in Object Recognition?William G. Hayward - 2003 - Trends in Cognitive Sciences 7 (10):425-427.
  22.  44
    Object Recognition and Segmentation by a Fragment-Based Hierarchy.Shimon Ullman - 2007 - Trends in Cognitive Sciences 11 (2):58-64.
  23.  3
    The Distinction Between Object Recognition and Picture Recognition.Hadyn D. Ellis - 1989 - Behavioral and Brain Sciences 12 (1):81.
  24.  49
    How Position Dependent is Visual Object Recognition?Dwight J. Kravitz, Latrice D. Vinson & Chris I. Baker - 2008 - Trends in Cognitive Sciences 12 (3):114-122.
  25. Early Recurrent Feedback Facilitates Visual Object Recognition Under Challenging Conditions.Dean Wyatte, David J. Jilk & Randall C. O'Reilly - 2014 - Frontiers in Psychology 5.
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  26.  6
    Image-Based Object Recognition in Man, Monkey and Machine.Michael J. Tarr & Heinrich H. Bülthoff - 1998 - Cognition 67 (1-2):1-20.
  27.  7
    Three-Dimensional Object Recognition Based on the Combination of Views.Shimon Ullman - 1998 - Cognition 67 (1-2):21-44.
  28.  1
    Visual Appearance Interacts with Conceptual Knowledge in Object Recognition.Olivia S. Cheung & Isabel Gauthier - 2014 - Frontiers in Psychology 5.
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  29. Predicting Object Features Across Saccades: Evidence From Object Recognition and Visual Search.Arvid Herwig & Werner X. Schneider - 2014 - Journal of Experimental Psychology: General 143 (5):1903-1922.
  30.  73
    Computational Theories of Object Recognition.Shimon Edelman - 1997 - Trends in Cognitive Sciences 1 (8):296-304.
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  31. Recurrent Processing During Object Recognition.Randall C. O’Reilly, Dean Wyatte, Seth Herd, Brian Mingus & David J. Jilk - 2013 - Frontiers in Psychology 4.
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  32.  28
    Vision: Object Recognition.Michael Tarr - 2002 - In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan.
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  33.  39
    Object Recognition in Cortex: Neural Mechanisms, and Possible Roles for Attention.Maximilian Riesenhuber - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 279--287.
  34.  7
    Object Recognition with Severe Spatial Deficits in Williams Syndrome: Sparing and Breakdown.Barbara Landau, James E. Hoffman & Nicole Kurz - 2006 - Cognition 100 (3):483-510.
  35.  12
    Dissociating the Effects of Angular Disparity and Image Similarity in Mental Rotation and Object Recognition.Olivia S. Cheung, William G. Hayward & Isabel Gauthier - 2009 - Cognition 113 (1):128-133.
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  36.  4
    Mental Rotation and Orientation-Invariant Object Recognition: Dissociable Processes.Martha J. Farah & Katherine M. Hammond - 1988 - Cognition 29 (1):29-46.
  37.  1
    Perceptual Plasticity for Auditory Object Recognition.L. M. Heald Shannon, C. Van Hedger Stephen & C. Nusbaum Howard - 2017 - Frontiers in Psychology 8.
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  38.  13
    Category-Specificity in Visual Object Recognition.Christian Gerlach - 2009 - Cognition 111 (3):281-301.
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  39.  2
    Object Recognition as a Function of Stimulus Characteristics.William A. Barnard, Marshall Breeding & Henry A. Cross - 1984 - Bulletin of the Psychonomic Society 22 (1):15-18.
  40.  11
    Object Recognition in Man, Monkey, and Machine Edited by Michael J. Tarr and Heinrich H. Bülthoff.J. Tanaka - 1999 - Trends in Cognitive Sciences 3 (10):401.
  41. Where View-Based Theories of Human Object Recognition Break Down: The Role of Structure in Human Shape Perception.J. E. Hummel - 2000 - In Eric Dietrich Art Markman (ed.), Cognitive Dynamics: Conceptual Change in Humans and Machines. Lawrence Erlbaum. pp. 157--185.
     
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  42.  14
    Measuring Object Recognition.Carl Senior - 2001 - Trends in Cognitive Sciences 5 (6):232.
  43.  35
    A Possible Worlds Model of Object Recognition.John Bart Wilburn - 1998 - Synthese 116 (3):403-438.
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  44.  7
    Review-Box 1. Object Recognition Paradigms.Guy Wallis & Heinrich Bülthoff - 1999 - Trends in Cognitive Sciences 3 (1):22-31.
  45.  3
    A Smoothness Constraint on the Development of Object Recognition.Justin N. Wood - 2016 - Cognition 153:140-145.
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  46. Spatial and Nonspatial Avenues to Object Recognition by the Human Haptic System.Roberta L. Klatzky & Susan J. Lederman - 1993 - In Naomi M. Eilan (ed.), Spatial Representation. Cambridge: Blackwell. pp. 191--205.
     
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  47.  4
    The Role of Action Affordances in Visual Object Recognition.H. Helbig, M. Graf & M. Kiefer - 2004 - In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell. pp. 75-76.
  48.  1
    How a Model of Object Recognition Learns to Become a Model of Face Recognition.Wallis Guy - 2015 - Frontiers in Human Neuroscience 9.
  49. Specialization Within Visual Object Recognition: Clues From Prosopagnosia and Alexia.Martha J. Farah - 1994 - In Martha J. Farah & G. Ratcliff (eds.), The Neuropsychology of High-Level Vision. Lawrence Erlbaum. pp. 133--146.
     
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  50.  6
    Object Recognition and Content.Lydia Sánchez & Manuel Campos - 2011 - Empedocles: European Journal for the Philosophy of Communication 2 (2):207-226.
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