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  • 标题:A Feature Descriptor by Difference of Polynomials
  • 本地全文:下载
  • 作者:Bo Zheng ; Yongqi Sun ; Jun Takamatsu
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2013
  • 卷号:8
  • 期号:4
  • 页码:1071-1075
  • DOI:10.11185/imt.8.1071
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:In this paper, we propose a novel local image descriptor DoP which is termed as the difference of images represented by polynomials in different degrees. Once an interest point/region is extracted by a common image detector such as Harris corner, our DoP descriptor is able to characterize the interest point/region with high distinctiveness, compactness, and robustness to viewpoint change, image blur, and illumination variation. To efficiently build DoP descriptor, we propose to numerically reduce the computational cost by jumping over the repeatedly calculating polynomial representation. Our experimental results demonstrate a better performance compared to several state-of-art candidates.
  • 关键词:image feature;feature descriptor;polynomial modeling
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