Adaptive visual SLAM by composite tracking
Project/Area Number |
22800018
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Single-year Grants |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Tokyo Institute of Technology |
Principal Investigator |
TORII Akihiko 東京工業大学, 大学院・理工学研究科, 助教 (20585179)
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Project Period (FY) |
2010 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥3,146,000 (Direct Cost: ¥2,420,000、Indirect Cost: ¥726,000)
Fiscal Year 2011: ¥1,508,000 (Direct Cost: ¥1,160,000、Indirect Cost: ¥348,000)
Fiscal Year 2010: ¥1,638,000 (Direct Cost: ¥1,260,000、Indirect Cost: ¥378,000)
|
Keywords | コンピュータビジョン / 3次元計測 / 3次元復元 / Structure from Motion / Visual SLAM |
Research Abstract |
We aimed at proposing visual simultaneous localization and mapping(VSLAM) system which is adaptive and flexible to large changes of scenes and views in image sequences. We deeply studied several feature tracking approaches and figured out that SURF feature tracking is an appropriate choice for accomplishing 3D reconstruction with our VSLAM system. Further, we extended the efficiency of camera tracking algorithm using the key-frame selection algorithm based on a fast image indexing method. Experimental validations and performance evaluations w. r. t. the state of the art structure-from-motion system have achieved on challenging real image sequences acquired under various scene and camera conditions.
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Report
(3 results)
Research Products
(20 results)
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[Presentation] 多視点3 次元復元の研究動向2011
Author(s)
鳥居秋彦, 岡谷貴之, 延原章平
Organizer
コンピュータビジョンとイメージメディア研究会
Place of Presentation
東京工業大学 大岡山キャンパス
Year and Date
2011-03-17
Related Report
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[Presentation] The six point algorithm revisited2010
Author(s)
鳥居秋彦, Zuzana Kukelova, Martin Buinak, Tomas Paidla
Organizer
Computer Vision in Vehicle Technology : From Earth to Mars
Place of Presentation
Queenstown, New Zealand
Year and Date
2010-11-08
Related Report
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