Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection

Ryusuke Sagawa, Hiroshi Kawasaki, Shota Kiyota, Ryo Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Citations (Scopus)

Abstract

3D scanning of moving objects has many applications, for example, marker-less motion capture, analysis on fluid dynamics, object explosion and so on. One of the approach to acquire accurate shape is a projector-camera system, especially the methods that reconstructs a shape by using a single image with static pattern is suitable for capturing fast moving object. In this paper, we propose a method that uses a grid pattern consisting of sets of parallel lines. The pattern is spatially encoded by a periodic color pattern. While informations are sparse in the camera image, the proposed method extracts the dense (pixel-wise) phase informations from the sparse pattern. As the result, continuous regions in the camera images can be extracted by analyzing the phase. Since there remain one DOF for each region, we propose the linear solution to eliminate the DOF by using geometric informations of the devices, i.e. epipolar constraint. In addition, solution space is finite because projected pattern consists of parallel lines with same intervals, the linear equation can be efficiently solved by integer least square method. In this paper, the formulations for both single and multiple projectors are presented. We evaluated the accuracy of correspondences and showed the comparison with respect to the number of projectors by simulation. Finally, the dense 3D reconstruction of moving objects are presented in the experiments.

Original languageEnglish
Title of host publication2011 International Conference on Computer Vision, ICCV 2011
Pages1911-1918
Number of pages8
DOIs
Publication statusPublished - Dec 1 2011
Externally publishedYes
Event2011 IEEE International Conference on Computer Vision, ICCV 2011 - Barcelona, Spain
Duration: Nov 6 2011Nov 13 2011

Other

Other2011 IEEE International Conference on Computer Vision, ICCV 2011
CountrySpain
CityBarcelona
Period11/6/1111/13/11

Fingerprint

Cameras
Fluid dynamics
Linear equations
Explosions
Pixels
Color
Scanning
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Sagawa, R., Kawasaki, H., Kiyota, S., & Furukawa, R. (2011). Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection. In 2011 International Conference on Computer Vision, ICCV 2011 (pp. 1911-1918). [6126460] https://doi.org/10.1109/ICCV.2011.6126460

Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection. / Sagawa, Ryusuke; Kawasaki, Hiroshi; Kiyota, Shota; Furukawa, Ryo.

2011 International Conference on Computer Vision, ICCV 2011. 2011. p. 1911-1918 6126460.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sagawa, R, Kawasaki, H, Kiyota, S & Furukawa, R 2011, Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection. in 2011 International Conference on Computer Vision, ICCV 2011., 6126460, pp. 1911-1918, 2011 IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, 11/6/11. https://doi.org/10.1109/ICCV.2011.6126460
Sagawa R, Kawasaki H, Kiyota S, Furukawa R. Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection. In 2011 International Conference on Computer Vision, ICCV 2011. 2011. p. 1911-1918. 6126460 https://doi.org/10.1109/ICCV.2011.6126460
Sagawa, Ryusuke ; Kawasaki, Hiroshi ; Kiyota, Shota ; Furukawa, Ryo. / Dense one-shot 3D reconstruction by detecting continuous regions with parallel line projection. 2011 International Conference on Computer Vision, ICCV 2011. 2011. pp. 1911-1918
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