Learning-based camera pose estimation
Project/Area Number |
23700211
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Hiroshima University |
Principal Investigator |
TAMAKI Toru 広島大学, 工学(系)研究科(研究院), 准教授 (10333494)
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Project Period (FY) |
2011 – 2013
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Project Status |
Completed (Fiscal Year 2013)
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Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | コンピュータビジョン / 姿勢推定 / 3次元シーン / カメラ姿勢 / 変化検出 |
Research Abstract |
Pose estimation of a camera is estimating the location where the picture is taken and to which direction the camera is pointing to, and it has a variety of applications. In this project we have developed methods for camera pose estimation from images as well as 3D scenes reconstructed from images: one approach matches 2D information of images with 3D information of 3D scenes to estimate camera pose, and the other approach find alignments between known and current 3D scenes even when severe changes and nonrigid deformation are involved.
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Report
(4 results)
Research Products
(44 results)
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[Journal Article] Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement2013
Author(s)
R. Miyaki, S. Yoshida, S. Tanaka, Y. Kominami, Y. Sanomura, T. Matsuo, S. Oka, B. Raytchev, T. Tamaki, T. Koide, K. Kaneda, M. Yoshihara, K. Chayama
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Journal Title
Journal of Gastroenterology and Hepatology
Volume: Vol. 28
Issue: 5
Pages: 841-847
DOI
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Peer Reviewed
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[Presentation] Object Pose Estimation by Locally Linearly Embedded Regression2013
Author(s)
Bisser Raytchev, Kazuya Terakado, Toru Tamaki, and Kazufumi Kaneda
Organizer
Springer Lecture Notes in Computer Science LNCS 8228, Part III, 20th International Conference on Neural Information Processing (ICONIP 2013), pp.458-468
Place of Presentation
EXCO, Daegu, Korea(DOI:10.1007/978-3-642-42051-1_57)
Related Report
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[Presentation] Semi-Rigid Registration of 3D points2013
Author(s)
Baowei Lin, Kouhei Sakai, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Koji Ichii
Organizer
International Conference on Signal and Image Processing (CSIP 2013)
Place of Presentation
Beijing Yanshan Hotel, Beijing, China
Related Report
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[Presentation] Semi-Rigid Registration of 3D points2013
Author(s)
Baowei Lin, Kouhei Sakai, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Koji Ichii
Organizer
The 5th International Conference on Computational Intelligence and Software Engineering (CiSE 2013)
Place of Presentation
Beijing Yanshan Hotel, Beijing, China
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[Presentation] Self-Training with Unlabeld Regions for NBI Image Recognition2012
Author(s)
Takahishi Takeda, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka
Organizer
International Conference on Pattern Recognition
Place of Presentation
Tsukuba, Japan
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