1568 search results - page 79 / 314 » Boosting Object Detection Using Feature Selection |
102
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
136
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
93
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ISCIS
2003
Springer
15 years 7 months ago
2003
Springer
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
132
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SPLC
2010
15 years 19 days ago
2010
Product line engineering allows for the rapid development of variants of a domain specific application by using a common set of reusable assets often known as core assets. Variabil...
239
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CRV
2011
IEEE
14 years 2 months ago
2011
IEEE
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...