Presentation | 2009-10-22 Content-Based Image Retrieval using SIFT based on Illumination Invariant Features Masaki KOBAYASHI, Keisuke KAMEYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, there has been an increasing need for Content-Based Image Retrieval (CBIR), especially the partial image retrieval system, which retrieves partial correspondences in the image database. However, the apparent color of objects are strongly influenced by the illumination variation, and this may affect retrieval results adversely. In this work, we proposed a framework which can find partial matchings by using illumination invariant local features (CSIFT), and achieved the partial image retrieval robust to apparent color changes. Additionally, we experimented in searching partial similarities for queries, such as logos and trademarks, and verified robustness to apparent color changes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | CBIR / Partial Image Retrieval / Illumination Invariance / Local Feature / SIFT / RANSAC / Homography |
Paper # | PRMU2009-71 |
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Committee | PRMU |
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Conference Date | 2009/10/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Content-Based Image Retrieval using SIFT based on Illumination Invariant Features |
Sub Title (in English) | |
Keyword(1) | CBIR |
Keyword(2) | Partial Image Retrieval |
Keyword(3) | Illumination Invariance |
Keyword(4) | Local Feature |
Keyword(5) | SIFT |
Keyword(6) | RANSAC |
Keyword(7) | Homography |
1st Author's Name | Masaki KOBAYASHI |
1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Keisuke KAMEYAMA |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
Date | 2009-10-22 |
Paper # | PRMU2009-71 |
Volume (vol) | vol.109 |
Number (no) | 249 |
Page | pp.pp.- |
#Pages | 6 |
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