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The Role of Fixation and Visual Attention in Object Recognition

Author(s)
Ratan, Aparna Lakshmi
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Abstract
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.
Date issued
1995-07-21
URI
http://hdl.handle.net/1721.1/6775
Other identifiers
AITR-1529
Series/Report no.
AITR-1529
Keywords
AI, MIT, Artificial Intelligence, Computer Vision, Object Recognitions

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