A Theory for Photometric Self-Calibration of Multiple Overlapping Projectors and Cameras

We introduce a technique to automatically correct color inconsistencies in a display composed of one or more digital light projectors (DLP). The method is agnostic to the source of error and can detect and address color problems from a number of sources. Examples include inter-and intra-projector color differences, display surface markings, and environmental lighting differences on the display. In contrast to methods that discover and map all colors into the greatest common color space, we minimize local color discontinuities to create color seamlessness while remaining tolerant to significant color error. The technique makes use of a commodity camera and high-dynamic range sensing to measure color gamuts at many different spatial locations.A differentiable energy function is defined that combines both a smoothness and data term.This energy function is globally minimized through the successive application of projective warps defined using gradient descent. At convergence the warps can be applied at runtime to minimize color defects in the display. The framework is demonstrated on displays that suffer from several sources of color error.

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Color calibration of multi-projector displays through automatic optimization of hardware settings

Steele

Yang

2009

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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We describe a system that performs automatic, camerabased photometric projector calibration by adjusting hardware settings (e.g. brightness, contrast, etc.). The approach has two basic advantages over software-correction methods. First, there is no software interface imposed on graphical programs: all imagery displayed on the projector benefits from the calibration immediately, without render-time overhead or code changes. Secondly, the approach benefits from the fact that projector hardware settings typically are capable of expanding or shifting color gamuts (e.g. trading off maximum brightness versus darkness of black levels), something that software methods, which only shrink gamuts, cannot do. In practice this means that hardware settings can possibly match colors between projectors while maintaining a larger overall color gamut (e.g. better contrast) than software-only correction can.The prototype system is fully automatic. The space of hardware settings is explored by using a computercontrolled universal remote to navigate each projector's menu system. An off-the-shelf camera observes each projector's response curves. A cost function is computed for the curves based on their similarity to each other, as well as intrinsic characteristics, including color balance, black level, gamma, and dynamic range. An approximate optimum is found using a heuristic combinatoric search. Results show significant qualitative improvements in the absolute colors, as well as the color consistency, of the display.

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A Theory for Photometric Self-Calibration of Multiple Overlapping Projectors and Cameras

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Cited by 7 publications

References 12 publications

Direct image alignment of projector-camera systems with planar surfaces

Direct image alignment of projector-camera systems with planar surfaces

A Camera-Based Energy Relaxation Framework to Minimize Color Artifacts in a Projected Display

Color calibration of multi-projector displays through automatic optimization of hardware settings

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