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libLDB: a library for extracting ultrafast and distinctive binary feature description

Published:03 November 2014Publication History

ABSTRACT

This paper gives an overview of libLDB -- a C++ library for extracting an ultrafast and distinctive binary feature LDB (Local Difference Binary) from an image patch. LDB directly computes a binary string using simple intensity and gradient difference tests on pairwise grid cells within the patch. Relying on integral images, the average intensity and gradients of each grid cell can be obtained by only 4~8 add/subtract operations, yielding an ultrafast runtime. A multiple gridding strategy is applied to capture the distinct patterns of the patch at different spatial granularities, leading to a high distinctiveness of LDB. LDB is very suitable for vision apps which require real-time performance, especially for apps running on mobile handheld devices, such as real-time mobile object recognition and tracking, markerless mobile augmented reality, mobile panorama stitching. This software is available under the GNU General Public License (GPL) v3.

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      • Published in

        cover image ACM Conferences
        MM '14: Proceedings of the 22nd ACM international conference on Multimedia
        November 2014
        1310 pages
        ISBN:9781450330633
        DOI:10.1145/2647868

        Copyright © 2014 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 November 2014

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        MM '14 Paper Acceptance Rate55of286submissions,19%Overall Acceptance Rate995of4,171submissions,24%

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