| dc.creator |
Syeda-Mahmood, Tanveer Fathima |
|
| dc.date |
2004-10-04T14:25:38Z |
|
| dc.date |
2004-10-04T14:25:38Z |
|
| dc.date |
1992-02-01 |
|
| dc.date.accessioned |
2013-10-09T02:42:20Z |
|
| dc.date.available |
2013-10-09T02:42:20Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
AIM-1270 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/5994 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region information to perform selection either based solely on image- data (data-driven), or based on the knowledge of the color description of the model (model -driven). The paper presents a method of perceptual color specification by color categories to extract perceptual color regions. It also discusses the utility of color-based selection in reducing the search involved in recognition. |
|
| dc.format |
29 p. |
|
| dc.format |
4497036 bytes |
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| dc.format |
1782485 bytes |
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| dc.format |
application/postscript |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
AIM-1270 |
|
| dc.subject |
selection |
|
| dc.subject |
color |
|
| dc.subject |
recognition |
|
| dc.subject |
saliency |
|
| dc.subject |
visual attention |
|
| dc.subject |
sregion segmentation |
|
| dc.title |
Data and Model-Driven Selection Using Color Regions |
|