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Learning of Stereo Visual Dictionaries
Title: | Learning of Stereo Visual Dictionaries |
Authors: | Tošić, Ivana Browse this author | Frossard, Pascal 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: | 509 |
End Page: | 512 |
Abstract: | We present a novel method for learning overcomplete dictionaries that are optimized for stereo image representation. Our learning algorithm optimizes the construction of dictionaries for both efficient image approximation and epipolar matching between pairs of images. The multi-view geometry constraint is included in the probabilistic modeling that permits to maximize the likelihood that natural stereo images are efficiently represented with the selected dictionaries. Experimental results of dictionary learning for stereo omnidirectional images show that the multi-view constraints significantly influence the construction of the dictionary, which leads to atoms with high anisotropic characteristics. |
Description: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Multiview/3D Video Processing II (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/2115/39756 |
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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