We demonstrate a new technique to minimize photometric differences between the color space of a display, sensor, and the real world, for mixed-reality (MR) systems where the real world is visible near or around a display. In this approach, we use an uncalibrated sensor to capture images of the display showing a series of calibration patterns. Using these images, we precompute a polynomial mapping function describing the continuous color-space transform between the real-world, sensor, and display. This mapping function can be evaluated in real-time to produce images that, when rendered on the embedded display, greatly reduce the color differences between displayed images of a mixed-reality world and the surrounding real-world environment. The color distribution of the resulting displayed images is significantly closer to that of the ground truth real-world scene as perceived through the human eye or other sensors. We demonstrate the impact of this technique when applied to a simple dynamic-geometry mixed-reality application.

The storage requirements for rendering with arbitrary tabular BRDFs can be quite large. This limits the number of BRDFs that can be in used in a scene to only a few. Furthermore, material parameters can be too complex to store and render per-pixel.