The importance of context and semantic descriptions in object recognition: Studies in computer vision and human vision [Nesne tanimada baǧlam ve anlambilimsel siniflandirmanin önemi: Bilgisayarla görme ve insanda görme alanlarindaki çaliş malar]
2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26837
Object recognition and scene classification are among the main interests in computer vision which have been investigated for long. Automatic recognition and classification ofobjects and scenes is an important skill to be gained by computers, especially in the field of artificial intelligence. Merging this skill with the ever increasing computing power of the computers will help in the development ofmany applications that are yet to be resolved. In this article, we present a survey on contextual and semantic approaches for object recognition by reviewing both computer vision and human vision literatures. ©2008 IEEE.
- Conference Paper 2294