2013 Fiscal Year Final Research Report
On Scalable Dimensional Reduction and Segmentation for 3D Shape Retrieval
| Project/Area Number |
23500119
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
AONO Masaki 豊橋技術科学大学, 工学(系)研究科(研究院), 教授 (00372540)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 情報検索 / マルチメディア情報表現 |
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| Research Abstract |
We have succeeded in developing a new method for dimensional reduction that can deal with 3D shape data in a scalable way. We have also developed a highly accurate 3D shape descriptor suited to mechanical parts having "holes" and "surface roughness", with which we received the best paper award at an International Conference in 2013. Meanwhile, by applying our 3D segmentation technologies, we have developed a new method for 3D partial shape retrieval as well as a method to search 3D shapes from a 2D picture as query.
To prove the effectiveness of our methods, we participated in SHREC2013 (Shape Retrieval Contest) and won the world best accuracy for 3D shape search.
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