講演名 | 2006/1/3 AN INLIER SELECTION METHOD BY USING 4-DIMENSINAL SUBSPACE(International Workshop on Advanced Image Technology 2006) , |
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抄録(英) | 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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資料番号 | IE2005-193 |
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研究会情報 | |
研究会 | IE |
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開催期間 | 2006/1/3(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Image Engineering (IE) |
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本文の言語 | ENG |
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タイトル(英) | AN INLIER SELECTION METHOD BY USING 4-DIMENSINAL SUBSPACE(International Workshop on Advanced Image Technology 2006) |
サブタイトル(和) | |
キーワード(1)(和/英) | |
第 1 著者 氏名(和/英) | / Takashi Noyori |
第 1 著者 所属(和/英) | Graduate School of Design, Kyushu Inst. of Design |
発表年月日 | 2006/1/3 |
資料番号 | IE2005-193 |
巻番号(vol) | vol.105 |
号番号(no) | 501 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |