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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Bibliographic Details
Main Authors: Manshor, Noridayu, Abdul Rahiman, Amir Rizaan, Raja Mahmood, Raja Azlina
Format: Article
Language:English
English
Published: Praise Worthy Prize 2013
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
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