Active one-shot scan for wide depth range using a light field projector based on coded aperture

Hiroshi Kawasaki, Satoshi Ono, Yuki Horita, Yuki Shiba, Ryo Furukawa, Shinsaku Hiura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

17 被引用数 (Scopus)

抄録

The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system. Considering the case of active stereo systems using a projector and camera setup, a central projection model creates several problems, among them, narrow depth range and necessity of wide baseline are crucial. In the paper, we solve the problems by introducing a light field projector, which can project a depth-dependent pattern. The light field projector is realized by attaching a coded aperture with a high frequency mask in front of the lens of the video projector, which also projects a high frequency pattern. Because the light field projector cannot be approximated by a thin lens model and a precise calibration method is not established yet, an image-based approach is proposed to apply a stereo technique to the system. Although image-based techniques usually require a large database and often imply heavy computational costs, we propose a hierarchical approach and a feature-based search for solution. In the experiments, it is confirmed that our method can accurately recover the dense shape of curved and textured objects for a wide range of depths from a single captured image.

本文言語英語
ホスト出版物のタイトル2015 International Conference on Computer Vision, ICCV 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3568-3576
ページ数9
ISBN(電子版)9781467383912
DOI
出版ステータス出版済み - 2 17 2015
外部発表はい
イベント15th IEEE International Conference on Computer Vision, ICCV 2015 - Santiago, チリ
継続期間: 12 11 201512 18 2015

出版物シリーズ

名前Proceedings of the IEEE International Conference on Computer Vision
2015 International Conference on Computer Vision, ICCV 2015
ISSN(印刷版)1550-5499

その他

その他15th IEEE International Conference on Computer Vision, ICCV 2015
国/地域チリ
CitySantiago
Period12/11/1512/18/15

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

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