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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6775Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Ratan, Aparna Lakshmi | - |
| dc.date | 2004-10-20T14:45:21Z | - |
| dc.date | 2004-10-20T14:45:21Z | - |
| dc.date | 1995-07-21 | - |
| dc.date.accessioned | 2013-10-09T02:46:50Z | - |
| dc.date.available | 2013-10-09T02:46:50Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | AITR-1529 | - |
| dc.identifier | http://hdl.handle.net/1721.1/6775 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | 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. | - |
| dc.format | 97 p. | - |
| dc.format | 8826773 bytes | - |
| dc.format | 2714320 bytes | - |
| dc.format | application/postscript | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | AITR-1529 | - |
| dc.subject | AI | - |
| dc.subject | MIT | - |
| dc.subject | Artificial Intelligence | - |
| dc.subject | Computer Vision | - |
| dc.subject | Object Recognitions | - |
| dc.title | The Role of Fixation and Visual Attention in Object Recognition | - |
| Appears in Collections: | MIT Items | |
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