3D Reconstruction with Image-to-World Transformation

Beiwei Zhang; Y. F. Li

doi:10.1007/978-94-007-2654-3_5

3D Reconstruction with Image-to-World Transformation

Beiwei Zhang^*
, Y. F. Li

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › Chapter in research book/monograph/textbook (Author) › peer-review

Abstract

In the previous chapter, the DLP projector is used as a virtual camera and the structured light system is treated as a stereoscopic vision system. In this chapter, we take the projector as a collection of light planes and study the possible algorithms for 3D Euclidean reconstruction with such a system. The plane-based formulation is explored to take advantage of the light planes in the pattern projection. The computational complexity of the algorithm is also analyzed and compared with the traditional triangulation method. The image-to-world transformation is employed for the 3D Euclidean reconstruction considering two different cases, i.e. two-known-plane case and one-known-plane case. Finally, some examples and experimental results are presented using the suggested system.

Original language	English
Title of host publication	Automatic Calibration and Reconstruction for Active Vision Systems
Publisher	Springer, Dordrecht
Chapter	5
Pages	93-115
ISBN (Electronic)	9789400726543
ISBN (Print)	9789400726536, 9789401781008
DOIs	https://doi.org/10.1007/978-94-007-2654-3_5
Publication status	Published - 2012

Publication series

Name	Intelligent Systems, Control and Automation: Science and Engineering
Volume	57
ISSN (Print)	2213-8986
ISSN (Electronic)	2213-8994

Access Output

10.1007/978-94-007-2654-3_5

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inbook{5812ae1e353b400f998afb9cbad23d01,

title = "3D Reconstruction with Image-to-World Transformation",

abstract = "In the previous chapter, the DLP projector is used as a virtual camera and the structured light system is treated as a stereoscopic vision system. In this chapter, we take the projector as a collection of light planes and study the possible algorithms for 3D Euclidean reconstruction with such a system. The plane-based formulation is explored to take advantage of the light planes in the pattern projection. The computational complexity of the algorithm is also analyzed and compared with the traditional triangulation method. The image-to-world transformation is employed for the 3D Euclidean reconstruction considering two different cases, i.e. two-known-plane case and one-known-plane case. Finally, some examples and experimental results are presented using the suggested system.",

author = "Beiwei Zhang and Li, \{Y. F.\}",

year = "2012",

doi = "10.1007/978-94-007-2654-3\_5",

language = "English",

isbn = "9789400726536",

series = "Intelligent Systems, Control and Automation: Science and Engineering",

publisher = "Springer, Dordrecht",

pages = "93--115",

booktitle = "Automatic Calibration and Reconstruction for Active Vision Systems",

}

3D Reconstruction with Image-to-World Transformation. / Zhang, Beiwei; Li, Y. F.
Automatic Calibration and Reconstruction for Active Vision Systems. Springer, Dordrecht, 2012. p. 93-115 (Intelligent Systems, Control and Automation: Science and Engineering; Vol. 57).

Research output: Chapters, Conference Papers, Creative and Literary Works › Chapter in research book/monograph/textbook (Author) › peer-review

TY - CHAP

T1 - 3D Reconstruction with Image-to-World Transformation

AU - Zhang, Beiwei

AU - Li, Y. F.

PY - 2012

Y1 - 2012

N2 - In the previous chapter, the DLP projector is used as a virtual camera and the structured light system is treated as a stereoscopic vision system. In this chapter, we take the projector as a collection of light planes and study the possible algorithms for 3D Euclidean reconstruction with such a system. The plane-based formulation is explored to take advantage of the light planes in the pattern projection. The computational complexity of the algorithm is also analyzed and compared with the traditional triangulation method. The image-to-world transformation is employed for the 3D Euclidean reconstruction considering two different cases, i.e. two-known-plane case and one-known-plane case. Finally, some examples and experimental results are presented using the suggested system.

AB - In the previous chapter, the DLP projector is used as a virtual camera and the structured light system is treated as a stereoscopic vision system. In this chapter, we take the projector as a collection of light planes and study the possible algorithms for 3D Euclidean reconstruction with such a system. The plane-based formulation is explored to take advantage of the light planes in the pattern projection. The computational complexity of the algorithm is also analyzed and compared with the traditional triangulation method. The image-to-world transformation is employed for the 3D Euclidean reconstruction considering two different cases, i.e. two-known-plane case and one-known-plane case. Finally, some examples and experimental results are presented using the suggested system.

UR - https://www.scopus.com/pages/publications/85042922071

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85042922071&origin=recordpage

U2 - 10.1007/978-94-007-2654-3_5

DO - 10.1007/978-94-007-2654-3_5

M3 - Chapter in research book/monograph/textbook (Author)

SN - 9789400726536

SN - 9789401781008

T3 - Intelligent Systems, Control and Automation: Science and Engineering

SP - 93

EP - 115

BT - Automatic Calibration and Reconstruction for Active Vision Systems

PB - Springer, Dordrecht

ER -

3D Reconstruction with Image-to-World Transformation

Abstract

Publication series

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this