講演抄録/キーワード |
講演名 |
2010-03-02 13:45
適応閾値画像コーナー検出曲率尺度空間に基づいて ○ホセイン エムディ フォイサル・宮平良彦・アシャリフ モハマッドレザー(琉球大)・山下勝己(阪府大) CAS2009-140 SIP2009-185 CS2009-135 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Corner detection or the more general terminology interest point detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, image matching, tracking, image mosaicing, panorama stitching, 3D modelling and object recognition. It is difficult to detect both fine and coarse features at the same time using single-scale corner detection whereas multi-scale feature detection is inherently able to solve this problem. This paper describes a multi-scale image corner detection method based on the curvature scale-space (CSS) representation and adaptive thresholding. This method uses an adaptive local curvature threshold instead of a global threshold. To eliminate falsely detected corner, the angles of corners are checked in a dynamic region of support. The results of the proposed method were compared with the results of some other popular corner detection methods. Experimental results show that the proposed corner detection method gives better results compared to other method. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Corner detection / Adaptive thresholding / Curvature Scale Space / / / / / |
文献情報 |
信学技報, vol. 109, no. 435, SIP2009-185, pp. 297-300, 2010年3月. |
資料番号 |
SIP2009-185 |
発行日 |
2010-02-22 (CAS, SIP, CS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
CAS2009-140 SIP2009-185 CS2009-135 |
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