3D model retrieval based on local pattern features
| Project/Area Number |
24500211
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | The Open University of Japan |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 形状特徴 / ３次元物体モデル / 高次局所自己相関 / 類似検索 / 形状検索 / テクスチャ / HLAC / Ext HLAC / 画像特徴 / 類似形状検索 / ３次元モデル / 3DHLAC / 高次局所自己相関特徴 / ソリッドテクスチャ |
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| Outline of Final Research Achievements |
Content-based 3D model retrieval techniques are important for 3D polygonal model databases. Recent efficient GPU hardware has made it possible to display high quality textured 3D models. Our technique allows users to retrieve and classify 3D models based on texture pattern similarity. We have extended HLAC shape descriptors for retrieving textured 3D models. Our three dimensional extensions of HLAC features have made possible the analysis of solid textures and 3D polygonal models. Our experimental program extracted local pattern features from solid textures by using the extended 3D HLAC mask patterns. A similarity retrieval system for the solid textures has been implemented. When a 3D model is created, 2D texture images can be overlaid on it to add colors and textures. In this research, standard HLAC masks (3x3) were extended to Ext-HLAC masks (5x5). Preliminary experiments show that a certain set of the Ext-HLAC masks can classify 2d texture images efficiently.
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Report
(4 results)
Research Products
(4 results)
