Fusion of global shape and local features using meta-classifier framework.
In computer vision, objects in an image can be described using many features such as shape, color, texture and local features. The number of dimensions for each type of feature has differing size. Basically, the underlying belief from a recognition point of view is that, the more features being used...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Praise Worthy Prize
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30671/1/Fusion%20of%20global%20shape%20and%20local%20features%20using%20meta.pdf http://psasir.upm.edu.my/id/eprint/30671/ http://www.praiseworthyprize.org/latest_issues/IRECOS-latest/IRECOS_vol_8_n_9.html |
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| Institution: | Universiti Putra Malaysia |
| Language: | English English |