Presentation | 2006/1/3 AN INLIER SELECTION METHOD BY USING 4-DIMENSINAL SUBSPACE(International Workshop on Advanced Image Technology 2006) Takashi Noyori, Hiroyasu Sakamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an inlier selection method in feature points tracking of an image sequence. Kanade-Lucas-Tomasi's well-known feature points tracking method [1] (KLT method) may include tracking errors frequently in bad condition. Several research groups introduced outlier removing schemes into the KLT method by using 4-dimensional (4-D) subspace spanned by an orthogonal basis and RANSAC based method sampled 4 feature points out of many points. In our method, a few dozens of feature points are randomly sampled, and the 4-D subspace is spanned by a skew basis which has successfully identified feature point correspondences in our former research [2]. The skew basis provides a measure for deviation from the kernel of the 4-D subspace. Our numerical results show that the skew basis approximates 4-D subspace much better than the orthogonal one. The proposed method is effective as an inlier selection method accompanied by 3-D reconstruction scheme with repeatedly complementing additional feature points. |
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Paper # | IE2005-193 |
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Committee | IE |
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Conference Date | 2006/1/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Image Engineering (IE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | AN INLIER SELECTION METHOD BY USING 4-DIMENSINAL SUBSPACE(International Workshop on Advanced Image Technology 2006) |
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1st Author's Name | Takashi Noyori |
1st Author's Affiliation | Graduate School of Design, Kyushu Inst. of Design() |
2nd Author's Name | Hiroyasu Sakamoto |
2nd Author's Affiliation | Faculty of Design, Kyushu University |
Date | 2006/1/3 |
Paper # | IE2005-193 |
Volume (vol) | vol.105 |
Number (no) | 501 |
Page | pp.pp.- |
#Pages | 6 |
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