High-speed 3D Sensing with Three-view Geometry Using a Segmented Pattern
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- TABATA Satoshi
- Graduate School of Information Science and Technology, The University of Tokyo
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- NOGUCHI Shohei
- Sony Corporation
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- WATANABE Yoshihiro
- Graduate School of Information Science and Technology, The University of Tokyo
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- ISHIKAWA Masatoshi
- Graduate School of Information Science and Technology, The University of Tokyo
Bibliographic Information
- Other Title
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- 3視点拘束に基づくセグメントパターン投影型高速3次元計測
- 3 シテン コウソク ニ モトズク セグメントパターン トウエイガタ コウソク 3ジゲン ケイソク
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Abstract
High-speed vision technology in which not just image capturing and recording but also image processing are executed simultaneously at high frame rates, exceeding video rates (30Hz), has recently been considered an important technology for various applications, such as robotics, and man-machine interfaces. However, the image processing performed in conventional high-speed vision systems is mainly based on two-dimensional pattern recognition. In order to extend the possibilities of this technology, here we focus on real-time three-dimensional sensing at the speeds achievable by high-speed vision systems. Although a related approach for high-speed 3D sensing can achieve a frame rate of over 200 fps, there are disadvantages, including the need for multiple captured frames during sensing, a limited measurement range and low resolution. Our proposed real-time 3D sensing system consists of a projector and two cameras. By projecting a well-designed segmented pattern and using three-viewpoint epipolar constraints, the proposed system can obtain 3D points at high speed. The developed system robustly obtained a 3D shape at 500fps in real time.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 52 (3), 141-151, 2016
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390001204510481536
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- NII Article ID
- 130005139002
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 027221460
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed