Optimized color gamuts for tiled displays

In this paper we introduce an innovative application aiming at combining large, tablet-based and headmounted displays for collaborative mobile mixed reality design reviews. Our research and development is motivated by two use scenarios: automotive and architectural design review involving real users from Page\Park architects and Elasis FIAT. Our activities are supported by the EU IST project IMPROVE. It covers activities in the areas of: HMD development using unique OLED technology, markerless tracking, augmented reality rendering, image calibration for large tiled displays, collaborative tablet-based and projection wall oriented interaction and stereoscopic video streaming for mobile users. The paper gives an overview of the hardware and software developments within IMPROVE and concludes with results from first user test

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“…Known explicit methods for gamut matching [10,16] have the disadvantage of having a high complexity.…”

Section: Fast Gamut Matchingmentioning

confidence: 99%

IMPROVE: An innovative application for collaborative mobile mixed reality design review

Santos

Sourander

Gierlinger

et al. 2007

Int J Interact Des Manuf

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“…[4] presents an optimal method to find the intersection of n color gamuts in O(n 6 ) time. This is clearly not a scalable solution, especially for large-scale displays of over 10 projectors.…”

Section: A Gamut Matchingmentioning

confidence: 99%

Camera-based calibration techniques for seamless multiprojector displays

Brown

Majumder

Yang

2005

IEEE Trans. Visual. Comput. Graphics

194

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Abstract-Multi-projector, 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 projectionbased 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 camerabased 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 multi-projector displays.

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“…Further, the algorithm to find a common color gamut for n projectors is a computational geometry problem of complexity O ( n 6 )[41], which makes this method unscalable for displays made of large number of projectors. So, heuristics are often used to match the color gamuts which cannot guarantee an optimal solution.…”

Section: Using the Model For Color Correctionmentioning

confidence: 99%

Modeling Color Properties of Tiled Displays

Majumder¹,

Gopi²

2005

Computer Graphics Forum

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The concept of tiled displays can be successful only if such displays are made to look like a single display perceptually. The two issues that need to be solved to achieve this goal are geometric correction and color seamlessness of images spanning across tiles. Geometric correction algorithms borrow pin-hole camera models to model projector display geometry. In this paper, we introduce an abstract modeling function that describes the color seen by a viewer when displayed by a display device.Though this function can be used to model color displayed by any common display device, in this paper, we use it to model color in multiprojector display systems. We use the model to explain the reasons for different types of color variations in a multiprojector display, to compare different color correction algorithms, and to derive such algorithms directly from the model.

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Optimized color gamuts for tiled displays

Cited by 16 publications

References 26 publications

IMPROVE: An innovative application for collaborative mobile mixed reality design review

IMPROVE: An innovative application for collaborative mobile mixed reality design review

Camera-based calibration techniques for seamless multiprojector displays

Modeling Color Properties of Tiled Displays

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