講演抄録/キーワード |
講演名 |
2009-11-26 09:00
An adaptive color SIFT descriptor based on independent component analysis for image classification ○Danni Ai・Xianhua Han(Ritumeikan Univ.)・Xiang Ruan(OMRON)・Yen-Wei Chen(Ritumeikan Univ.) PRMU2009-94 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene classification. We first learn an efficient color transformation matrix based on independent component analysis (ICA), which is adaptive to each category in a database. The ICA-based color transformation can enhance contrast between the objects and the background in an image. Then we compute CIC-SIFT descriptors over all three transformed color independent components. Since the ICA-based color transformation can boost the objects and suppress the background, the proposed CIC-SIFT can extract more effective and discriminative local features for object/scene classification. The comparison is performed among seven SIFT descriptors and the experimental classification results show that our proposed CIC-SIFT is superior to other conventional SIFT descriptors. |
キーワード |
(和) |
/ / / / / / / |
(英) |
CIC-SIFT descriptor / ICA-based transformation / image classification / / / / / |
文献情報 |
信学技報, vol. 109, no. 306, PRMU2009-94, pp. 1-6, 2009年11月. |
資料番号 |
PRMU2009-94 |
発行日 |
2009-11-19 (PRMU) |
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 |
PRMU2009-94 |