Dynamic scene shape reconstruction using a single structured light pattern

Hiroshi Kawasaki, Ryo Furukawa, Ryusuke Sagawa, Yasushi Yagi

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

119 Citations (Scopus)

Abstract

3D acquisition techniques to measure dynamic scenes and deformable objects with little texture are extensively researched for applications like the motion capturing of human facial expression. To allow such measurement, several techniques using structured light have been proposed. These techniques can be largely categorized into two types. The first involves techniques to temporally encode positional information of a projector's pixels using multiple projected patterns, and the second involves techniques to spatially encode positional information into areas or color spaces. Although the former allows dense reconstruction with a sufficient number of patterns, it has difficulty in scanning objects in rapid motion. The latter technique uses only a single pattern, so this problem can be resolved, however, it often uses complex patterns or color intensities, which are weak to noise, shape distortions, or textures. Thus, it remains an open problem to achieve dense and stable 3D acquisition in real cases. In this paper, we propose a technique to achieve dense shape reconstruction that requires only a single-frame image of a grid pattern. The proposed technique also has the advantage of being robust in terms of image processing.

Original languageEnglish
Title of host publication26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
DOIs
Publication statusPublished - Sep 23 2008
Externally publishedYes
Event26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR - Anchorage, AK, United States
Duration: Jun 23 2008Jun 28 2008

Publication series

Name26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Other

Other26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
CountryUnited States
CityAnchorage, AK
Period6/23/086/28/08

Fingerprint

Textures
Color
Image processing
Pixels
Scanning

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Cite this

Kawasaki, H., Furukawa, R., Sagawa, R., & Yagi, Y. (2008). Dynamic scene shape reconstruction using a single structured light pattern. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR [4587702] (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR). https://doi.org/10.1109/CVPR.2008.4587702

Dynamic scene shape reconstruction using a single structured light pattern. / Kawasaki, Hiroshi; Furukawa, Ryo; Sagawa, Ryusuke; Yagi, Yasushi.

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 2008. 4587702 (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

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

Kawasaki, H, Furukawa, R, Sagawa, R & Yagi, Y 2008, Dynamic scene shape reconstruction using a single structured light pattern. in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR., 4587702, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Anchorage, AK, United States, 6/23/08. https://doi.org/10.1109/CVPR.2008.4587702
Kawasaki H, Furukawa R, Sagawa R, Yagi Y. Dynamic scene shape reconstruction using a single structured light pattern. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 2008. 4587702. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR). https://doi.org/10.1109/CVPR.2008.4587702
Kawasaki, Hiroshi ; Furukawa, Ryo ; Sagawa, Ryusuke ; Yagi, Yasushi. / Dynamic scene shape reconstruction using a single structured light pattern. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 2008. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).
@inproceedings{5fac27dda02447baa88578a5316d44c7,
title = "Dynamic scene shape reconstruction using a single structured light pattern",
abstract = "3D acquisition techniques to measure dynamic scenes and deformable objects with little texture are extensively researched for applications like the motion capturing of human facial expression. To allow such measurement, several techniques using structured light have been proposed. These techniques can be largely categorized into two types. The first involves techniques to temporally encode positional information of a projector's pixels using multiple projected patterns, and the second involves techniques to spatially encode positional information into areas or color spaces. Although the former allows dense reconstruction with a sufficient number of patterns, it has difficulty in scanning objects in rapid motion. The latter technique uses only a single pattern, so this problem can be resolved, however, it often uses complex patterns or color intensities, which are weak to noise, shape distortions, or textures. Thus, it remains an open problem to achieve dense and stable 3D acquisition in real cases. In this paper, we propose a technique to achieve dense shape reconstruction that requires only a single-frame image of a grid pattern. The proposed technique also has the advantage of being robust in terms of image processing.",
author = "Hiroshi Kawasaki and Ryo Furukawa and Ryusuke Sagawa and Yasushi Yagi",
year = "2008",
month = "9",
day = "23",
doi = "10.1109/CVPR.2008.4587702",
language = "English",
isbn = "9781424422432",
series = "26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR",
booktitle = "26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR",

}

TY - GEN

T1 - Dynamic scene shape reconstruction using a single structured light pattern

AU - Kawasaki, Hiroshi

AU - Furukawa, Ryo

AU - Sagawa, Ryusuke

AU - Yagi, Yasushi

PY - 2008/9/23

Y1 - 2008/9/23

N2 - 3D acquisition techniques to measure dynamic scenes and deformable objects with little texture are extensively researched for applications like the motion capturing of human facial expression. To allow such measurement, several techniques using structured light have been proposed. These techniques can be largely categorized into two types. The first involves techniques to temporally encode positional information of a projector's pixels using multiple projected patterns, and the second involves techniques to spatially encode positional information into areas or color spaces. Although the former allows dense reconstruction with a sufficient number of patterns, it has difficulty in scanning objects in rapid motion. The latter technique uses only a single pattern, so this problem can be resolved, however, it often uses complex patterns or color intensities, which are weak to noise, shape distortions, or textures. Thus, it remains an open problem to achieve dense and stable 3D acquisition in real cases. In this paper, we propose a technique to achieve dense shape reconstruction that requires only a single-frame image of a grid pattern. The proposed technique also has the advantage of being robust in terms of image processing.

AB - 3D acquisition techniques to measure dynamic scenes and deformable objects with little texture are extensively researched for applications like the motion capturing of human facial expression. To allow such measurement, several techniques using structured light have been proposed. These techniques can be largely categorized into two types. The first involves techniques to temporally encode positional information of a projector's pixels using multiple projected patterns, and the second involves techniques to spatially encode positional information into areas or color spaces. Although the former allows dense reconstruction with a sufficient number of patterns, it has difficulty in scanning objects in rapid motion. The latter technique uses only a single pattern, so this problem can be resolved, however, it often uses complex patterns or color intensities, which are weak to noise, shape distortions, or textures. Thus, it remains an open problem to achieve dense and stable 3D acquisition in real cases. In this paper, we propose a technique to achieve dense shape reconstruction that requires only a single-frame image of a grid pattern. The proposed technique also has the advantage of being robust in terms of image processing.

UR - http://www.scopus.com/inward/record.url?scp=51949098935&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51949098935&partnerID=8YFLogxK

U2 - 10.1109/CVPR.2008.4587702

DO - 10.1109/CVPR.2008.4587702

M3 - Conference contribution

AN - SCOPUS:51949098935

SN - 9781424422432

T3 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

BT - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

ER -