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- W1816018846 abstract "This paper presents a novel binary descriptor named as B-SIFT(Binarized Scale Invariant Feature Transform) for efficient invariant feature correspondence.Through analyzing the local distinctive gradient pattern, we convert the standard SIFT descriptor to a binary representation which can be computed extremely fast with bitwise operation. Extensive correspondence trials based on a benchmark Oxford image data set with viewpoint, scale, image blur, JPEG compression and illumination changes demonstrate that in general, the proposed B-SIFT method significantly outperforms the standard SIFT with over 400 times faster in matching time and 32 times less in memory resources, while achieves the same matching score as SIFT." @default.
- W1816018846 created "2016-06-24" @default.
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- W1816018846 date "2012-01-01" @default.
- W1816018846 modified "2023-09-27" @default.
- W1816018846 title "B-SIFT: A Highly Efficient Binary SIFT Descriptor for Invariant Feature Correspondence" @default.
- W1816018846 cites W2151103935 @default.
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- W1816018846 doi "https://doi.org/10.1007/978-3-642-31919-8_55" @default.
- W1816018846 hasPublicationYear "2012" @default.
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