Multi-Fourier Spectral Descriptor to Integrate Knowledge-Based Processing for Three-dimensional Shape Database
Project/Area Number |
20500090
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Media informatics/Database
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Research Institution | Toyohashi University of Technology |
Principal Investigator |
AONO Masaki Toyohashi University of Technology, 大学院・工学研究科, 教授 (00372540)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | 三次元物体 / 形状類似検索 / 次元削減 / セグメンテーション / 分類 / 三次元モデル / 突起形状 / 多様体学習 / 情報検索 / 近傍ハッシング / フーリエスペクトル / スペクトルクラスタリング / スペクトル回帰 / 拡散写像 / クラスタリング / 多様体 / 隣接グラフ / 特徴量 |
Research Abstract |
In this research, we have focused on integrating knowledge-based engineering on three-dimensional shape database, which are assumed to be encoded in our patented technology called MFSD (Multi-Fourier Spectral Descriptor) features. During the past three years, we have invented several new techniques ; the first one is "Linear Diffusion Projection (LDP)", which reduces the feature space into almost 1/10 dimensions with compact indices, keeping non-linear structure in higher dimensional space. The second one is "Segmentation based on protruded shape". This technique was presented in a workshop in February, 2011. This allows us to search similar shapes "by parts", which makes it possible to enumerate partially similar shapes, even though the shape as a whole may not be similar to the input query.
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Report
(4 results)
Research Products
(67 results)