Mean shift-based SIFT keypoint filtering for region-of-interest determination

Ji Soo Keum, Hyon Soo Lee, Masafumi Hagiwara

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

This paper presents an improved keypoint filtering method for region-of-interest (ROI) determination. Mean shift-based clustering was employed to group the scale invariant feature transform (SIFT) keypoints that appeared in the nearest region to get more locality. The proposed method uses the location of the extracted SIFT keypoints for grouping, and an average SIFT descriptor is calculated on the clustered keypoints. The support vector machine (SVM) classifies the average SIFT descriptor as an artificial or a natural keypoint. After the keypoint classification, only the keypoints classified as artificial keypoints by the binary SVM are used in near-duplicate detection (NDD). Finally, we determine the ROI using the adaptive selection of orientation histogram and the elimination of isolated keypoints. According to the result of experiments on keypoint classification, NDD and ROI determination, the proposed method obtained improved results compared to the previous methods.

元の言語English
ホスト出版物のタイトル6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
ページ266-271
ページ数6
DOI
出版物ステータスPublished - 2012 12 1
イベント2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
継続期間: 2012 11 202012 11 24

出版物シリーズ

名前6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Japan
Kobe
期間12/11/2012/11/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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  • これを引用

    Keum, J. S., Lee, H. S., & Hagiwara, M. (2012). Mean shift-based SIFT keypoint filtering for region-of-interest determination. : 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 266-271). [6505144] (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012). https://doi.org/10.1109/SCIS-ISIS.2012.6505144