講演名 2007-10-26
Signboard Recognition by Consistency Checking of Local Features(Internationa Session 6)
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抄録(和)
抄録(英) The problem of recognizing signboards in street scenes is defined as matching the input image to pre-stored 2D signboard images. This problem is not as simple as it appears to be due to arbitrary drawings and relative 3D positions. We approach this problem by first matching local features of input image to those of images in the database. These matches are later verified with the global features, namely the homographic consistency and the color consistency. The well-known SIFT feature is used as the local feature and the homographic consistency checking is performed using RANSAC, a randomized method for finding an optimal match. In order to handle signboards with large perspective distortions, several templates with different perspective transformations are generated a-priori. In our experiments, the proposed method achieves up to 95% recognition rate, showing good results despite the highly distorted input images.
キーワード(和)
キーワード(英) Signboard recognition / Homography / Perspective Transform / SIFT / RANSAC
資料番号 PRMU2007-118
発行日

研究会情報
研究会 PRMU
開催期間 2007/10/18(から1日開催)
開催地(和)
開催地(英)
テーマ(和)
テーマ(英)
委員長氏名(和)
委員長氏名(英)
副委員長氏名(和)
副委員長氏名(英)
幹事氏名(和)
幹事氏名(英)
幹事補佐氏名(和)
幹事補佐氏名(英)

講演論文情報詳細
申込み研究会 Pattern Recognition and Media Understanding (PRMU)
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Signboard Recognition by Consistency Checking of Local Features(Internationa Session 6)
サブタイトル(和)
キーワード(1)(和/英) / Signboard recognition
第 1 著者 氏名(和/英) / Jihoon Kim
第 1 著者 所属(和/英)
Computer Science Department, KAIST
発表年月日 2007-10-26
資料番号 PRMU2007-118
巻番号(vol) vol.107
号番号(no) 281
ページ範囲 pp.-
ページ数 6
発行日