ログイン 新規登録
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 論文誌(トランザクション)
  2. Computer Vision and Applications(CVA)
  3. Vol.5

A Feature Descriptor by Difference of Polynomials

https://ipsj.ixsq.nii.ac.jp/records/94703
https://ipsj.ixsq.nii.ac.jp/records/94703
efc75d3d-66fa-49f6-824b-6bf52b6963e9
名前 / ファイル ライセンス アクション
IPSJ-TCVA0500015.pdf IPSJ-TCVA0500015.pdf (3.8 MB)
Copyright (c) 2013 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2013-07-29
タイトル
タイトル A Feature Descriptor by Difference of Polynomials
タイトル
言語 en
タイトル A Feature Descriptor by Difference of Polynomials
言語
言語 eng
キーワード
主題Scheme Other
主題 [Regular Paper - Express Paper] image feature, feature descriptor, polynomial modeling
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
IIS, U-Tokyo
著者所属
BROTHER INDUSTRIES, LTD.
著者所属
NAIST
著者所属
IIS, U-Tokyo
著者所属(英)
en
IIS, U-Tokyo
著者所属(英)
en
BROTHER INDUSTRIES, LTD.
著者所属(英)
en
NAIST
著者所属(英)
en
IIS, U-Tokyo
著者名 Bo, Zheng Yongqi, Sun Jun, Takamatsu Katsushi, Ikeuchi

× Bo, Zheng Yongqi, Sun Jun, Takamatsu Katsushi, Ikeuchi

Bo, Zheng
Yongqi, Sun
Jun, Takamatsu
Katsushi, Ikeuchi

Search repository
著者名(英) Bo, Zheng Yongqi, Sun Jun, Takamatsu Katsushi, Ikeuchi

× Bo, Zheng Yongqi, Sun Jun, Takamatsu Katsushi, Ikeuchi

en Bo, Zheng
Yongqi, Sun
Jun, Takamatsu
Katsushi, Ikeuchi

Search repository
論文抄録
内容記述タイプ Other
内容記述 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.
論文抄録(英)
内容記述タイプ Other
内容記述 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.
書誌情報 IPSJ Transactions on Computer Vision and Applications (CVA)

巻 5, p. 80-84, 発行日 2013-07-29
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-6695
出版者
言語 ja
出版者 情報処理学会
戻る
0
views
See details
Views

Versions

Ver.1 2025-01-21 14:27:20.132124
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3