Unsupervised Region of Interest Detection Using Fast and Surf
نویسندگان
چکیده
The determination of Region-of-Interest has been recognised as an important means by which unimportant image content can be identified and excluded during image compression or image modelling, however existing Region-of-Interest detection methods are computationally expensive thus are mostly unsuitable for managing large number of images and the compression of images especially for real-time video applications. This paper therefore proposes an unsupervised algorithm that takes advantage of the high computation speed being offered by Speeded-Up Robust Features (SURF) and Features from Accelerated Segment Test (FAST) to achieve fast and efficient Region-of-Interest detection.
منابع مشابه
Unsupervised region of intrest detection using fast and surf
The determination of Region-of-Interest has been re cognised as an important means by which unimportant image content can be identified and exc luded during image compression or image modelling, however existing Region-of-Interest dete ction methods are computationally expensive thus are mostly unsuitable for managing l arge number of images and the compression of images especially for real-tim...
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