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Camera-based calibration techniques for seamless multiprojector displays.
IEEE Trans Vis Comput Graph. 2005 Mar-Apr; 11(2):193-206.IT

Abstract

Multiprojector, large-scale displays are used in scientific visualization, virtual reality, and other visually intensive applications. In recent years, a number of camera-based computer vision techniques have been proposed to register the geometry and color of tiled projection-based display. These automated techniques use cameras to "calibrate" display geometry and photometry, computing per-projector corrective warps and intensity corrections that are necessary to produce seamless imagery across projector mosaics. These techniques replace the traditional labor-intensive manual alignment and maintenance steps, making such displays cost-effective, flexible, and accessible. In this paper, we present a survey of different camera-based geometric and photometric registration techniques reported in the literature to date. We discuss several techniques that have been proposed and demonstrated, each addressing particular display configurations and modes of operation. We overview each of these approaches and discuss their advantages and disadvantages. We examine techniques that address registration on both planar (video walls) and arbitrary display surfaces and photometric correction for different kinds of display surfaces. We conclude with a discussion of the remaining challenges and research opportunities for multiprojector displays.

Authors+Show Affiliations

Brown M
Department of Computer Science, Cal State Monterey Bay, Bldg. 18, 100 Campus Dr., Seaside, CA 93955, USA. brown@cs.ust.hk
Majumder A
No affiliation info available
Yang R
No affiliation info available

MeSH

AlgorithmsCalibrationComputer GraphicsComputer PeripheralsComputer SimulationImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedPhotographyPhotometryUser-Computer Interface

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

15747642

Citation

Brown, Michael, et al. "Camera-based Calibration Techniques for Seamless Multiprojector Displays." IEEE Transactions On Visualization and Computer Graphics, vol. 11, no. 2, 2005, pp. 193-206.
Brown M, Majumder A, Yang R. Camera-based calibration techniques for seamless multiprojector displays. IEEE Trans Vis Comput Graph. 2005;11(2):193-206.
Brown, M., Majumder, A., & Yang, R. (2005). Camera-based calibration techniques for seamless multiprojector displays. IEEE Transactions On Visualization and Computer Graphics, 11(2), 193-206.
Brown M, Majumder A, Yang R. Camera-based Calibration Techniques for Seamless Multiprojector Displays. IEEE Trans Vis Comput Graph. 2005 Mar-Apr;11(2):193-206. PubMed PMID: 15747642.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Camera-based calibration techniques for seamless multiprojector displays. AU - Brown,Michael, AU - Majumder,Aditi, AU - Yang,Ruigang, PY - 2005/3/8/pubmed PY - 2005/4/1/medline PY - 2005/3/8/entrez SP - 193 EP - 206 JF - IEEE transactions on visualization and computer graphics JO - IEEE Trans Vis Comput Graph VL - 11 IS - 2 N2 - Multiprojector, large-scale displays are used in scientific visualization, virtual reality, and other visually intensive applications. In recent years, a number of camera-based computer vision techniques have been proposed to register the geometry and color of tiled projection-based display. These automated techniques use cameras to "calibrate" display geometry and photometry, computing per-projector corrective warps and intensity corrections that are necessary to produce seamless imagery across projector mosaics. These techniques replace the traditional labor-intensive manual alignment and maintenance steps, making such displays cost-effective, flexible, and accessible. In this paper, we present a survey of different camera-based geometric and photometric registration techniques reported in the literature to date. We discuss several techniques that have been proposed and demonstrated, each addressing particular display configurations and modes of operation. We overview each of these approaches and discuss their advantages and disadvantages. We examine techniques that address registration on both planar (video walls) and arbitrary display surfaces and photometric correction for different kinds of display surfaces. We conclude with a discussion of the remaining challenges and research opportunities for multiprojector displays. SN - 1077-2626 UR - https://www.unboundmedicine.com/medline/citation/15747642/Camera_based_calibration_techniques_for_seamless_multiprojector_displays_ DB - PRIME DP - Unbound Medicine ER -