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Face Recognition Based on Phase-Feature
Title: | Face Recognition Based on Phase-Feature |
Authors: | Jiang, Wei Browse this author | Lam, Kin-Man Browse this author | Shen, Ting-Zhi Browse this author |
Issue Date: | 4-Oct-2009 |
Publisher: | Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee |
Journal Title: | Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference |
Start Page: | 672 |
End Page: | 675 |
Abstract: | Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations. |
Description: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: 3D Mapping, Modeling, Tracking, and Applications (6 October 2009). |
Conference Name: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference | 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 |
Conference Place: | Sapporo |
Type: | proceedings |
URI: | http://hdl.handle.net/2115/39785 |
Appears in Collections: | 北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)
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