Improving the SIFT descriptor with smooth derivative filters
نویسندگان
چکیده
منابع مشابه
Improving the SIFT descriptor with smooth derivative filters
Several approaches to object recognition make extensive use of local image information extracted in interest points, known as local image descriptors. State-of-the-art methods perform a statistical analysis of the gradient information around the interest point, which often relies on the computation of image derivatives with pixel differencing methods. In this paper we show the advantages of usi...
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Latest results indicate that features learned via convolutional neural networks outperform previous descriptors on classification tasks by a large margin. It has been shown that these networks still work well when they are applied to datasets or recognition tasks different from those they were trained on. However, descriptors like SIFT are not only used in recognition but also for many correspo...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2009
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2008.08.012