Ultra-Fast Multi-Scale Shape Estimation of Light Transport Matrix for Complex Light Reflection Objects

Naoya Chiba, Koichi Hashimoto

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

3D measurement of target objects characterized by specular reflection or subsurface scatterings cannot be measured by traditional 3D measurement methods because these targets have multiple light paths that make it difficult to determine the unique surface. We define these objects as complex light reflection objects. In this case, 3D measurement methods based on Light Transport (LT) Matrix estimation may be a solution to measure these complex light reflection objects, because LT Matrix captures every light path, and we can identify all 3D points on the target shape by using LT Matrix. However, these methods either provide low resolution results, or they are too slow for use in robot vision in practice. In this paper, we suppress the computational cost of LT Matrix estimation by dividing LT Matrix estimation into multi-scale. The proposed method reduces the number of candidate combinations between camera pixels and projector pixels greatly by using the information given by low resolution observations. The proposed algorithm allows high resolution measurement of the LT Matrix very efficiently. Furthermore, careful implementation of our method by using a sparse matrix representation achieves memory efficiency. We evaluated our method by measuring 3D points for a 256 × 256 resolution projector and camera system, which is an LT matrix 4096 times larger than that developed in our previous study [1] and 100 times faster than our naïve implementation of [2].

本文言語English
ホスト出版物のタイトル2018 IEEE International Conference on Robotics and Automation, ICRA 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ6147-6152
ページ数6
ISBN(電子版)9781538630815
DOI
出版ステータスPublished - 2018 9 10
イベント2018 IEEE International Conference on Robotics and Automation, ICRA 2018 - Brisbane, Australia
継続期間: 2018 5 212018 5 25

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
ISSN(印刷版)1050-4729

Conference

Conference2018 IEEE International Conference on Robotics and Automation, ICRA 2018
国/地域Australia
CityBrisbane
Period18/5/2118/5/25

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人工知能
  • 電子工学および電気工学

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