Construction of System of 3-D Modeling and Virtual Image Generation for Mixed Reality
| Project/Area Number |
16500108
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Chubu University |
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Principal Investigator |
IWAHORI Yuji Chubu University, College of Engineering, Professor, 工学部, 教授 (60203402)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2006: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2005: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2004: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | Computer Vision / Shape Recovery / Neural Network / Mixed Reality / Virtual Image / Tracking / Illumination Change / Particle Filter / 仮想視点 / 電子顕微鏡画像 |
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| Research Abstract |
This research aims the new possibility for computer vision and mixed reality that includes the following topics. The topics are Neural network implementation of 3-D modeling and virtual image generation, obtaining shape from shading images from Scanning Electron Microscope, Recognition of shape and generation of free view point image from image database, Extracting moving object with robust background subtraction for quick illumination change, and Improvement and efficient approach with particle filter based motion tracking approach under fixed view point. Neural network is used to the extension for color object image, where the color reflectance factor is recovered with shape information, in addition, virtual image with any light source direction and any view point is generated for the mixed reality. Developed NN based approach gives better reality in comparison with previous CG model based approaches. Recovering shape from SEM was developed with Hopfield neural network as the optimization approach. A new approach to generate free viewpoint image from CG database is also proposed using pose recognition with PCA from CG image database. For the purpose of better segmentation and tracking of moving object, robust segmentation of moving object under the quick illumination changes and particle filter based approach with multiple fixed cameras are also proposed and developed. These results could have good possibility for the research topics.
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Report
(4 results)
Research Products
(65 results)
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[Journal Article] 輝度変化に対する頑健な背景差分法2004
Author(s)
福井真二, 石川富康, 岩堀祐之, 伊藤英則
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Journal Title
Proceedings of MIRU2004 (画像の認識・理解シンポジウム) Vol. II
Pages: 305-310
Description
「研究成果報告書概要(和文)」より
Related Report
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