SBRISK: speed-up binary robust invariant scalable keypoints
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  • 作者:Shuqiang Yang ; Biao Li ; Kun Zeng
  • 关键词:BRISK ; SBRISK ; Keypoint generation ; Vector shift ; Matching result refinement
  • 刊名:Journal of Real-Time Image Processing
  • 出版年:2016
  • 出版时间:October 2016
  • 年:2016
  • 卷:12
  • 期:3
  • 页码:583-591
  • 全文大小:2,098 KB
  • 刊物类别:Computer Science
  • 刊物主题:Image Processing and Computer Vision
    Multimedia Information Systems
    Computer Graphics
    Pattern Recognition
    Signal,Image and Speech Processing
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1861-8219
  • 卷排序:12
文摘
Keypoint generation, including detection, description and matching is the basis of a broad range of applications. A more efficient and effective keypoint generation method is always of interest. In this paper, we propose the speed-up BRISK (SBRISK), a variant of the binary robust invariant scalable keypoint (BRISK). SBRISK not only inherits the high speed of BRISK in the keypoint detection, but also adopts a nearly circular symmetric constellation to describe the pattern of keypoint. To adapt to the characteristic orientation of keypoint, SBRISK shifts the binary vector rather than rotating the image pattern or constellation like many other descriptors have done. It abandons interpolation to get intensity at sub-pixel position, since the constellation does not strictly restrict to circular symmetric. Different from BRISK, SBRISK classifies keypoints into bright patterns and dark patterns. Comparison is conducted only within the same class. Meanwhile, a special refinement scheme is imposed upon the initial matching results to improve the match precision. Experiments show that SBRISK has a faster and better performance than BRISK with less memory consumption.
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