The Role of Fixation and Visual Attention in Object Recognition
Item
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Title
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The Role of Fixation and Visual Attention in Object Recognition
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Creator
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Ratan, Aparna Lakshmi
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Date
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2004-10-20T14:45:21Z
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Date Available
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2004-10-20T14:45:21Z
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Date Issued
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1995-07-21
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Identifier
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AITR-1529
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Abstract
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This research project is a study of the role of fixation and visual attention in object recognition. In this project, we build an active vision system which can recognize a target object in a cluttered scene efficiently and reliably. Our system integrates visual cues like color and stereo to perform figure/ground separation, yielding candidate regions on which to focus attention. Within each image region, we use stereo to extract features that lie within a narrow disparity range about the fixation position. These selected features are then used as input to an alignment-style recognition system. We show that visual attention and fixation significantly reduce the complexity and the false identifications in model-based recognition using Alignment methods. We also demonstrate that stereo can be used effectively as a figure/ground separator without the need for accurate camera calibration.
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Extent
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97 p.
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8826773 bytes
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2714320 bytes
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Format
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application/postscript
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application/pdf
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Language
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en_US
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Relation
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AITR-1529
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Subject
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AI
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MIT
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Artificial Intelligence
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Computer Vision
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Object Recognitions