While the LED panels used in virtual production systems can display vibrant imagery with a wide color gamut, they produce problematic color shifts when used as lighting due to their peaky spectral output from narrow-band red, green, and blue LEDs. In this work, we present an improved color calibration process for virtual production stages which ameliorates this color rendition problem while also passing through accurate in-camera background colors. We do this by optimizing linear color correction transformations for 1) the LED panel pixels visible in the field of view of the camera, 2) the pixels outside the field of view of the camera illuminating the subjects, and, as a post-process, 3) the pixel values recorded by the camera. The result is that footage shot in an RGB LED panel virtual production stage can exhibit more accurate skin tones and costume colors while still reproducing the desired colors of the in-camera background.
翻译:虽然在虚拟生产系统中使用的LED面板可以展示具有广泛色彩的动态图像,但是在用作照明时,由于窄带红色、绿色和蓝色LED的峰值光谱输出,这些面板会产生有问题的颜色变化。在这项工作中,我们展示了一个改进的虚拟生产阶段的彩色校准过程,这缓解了这种颜色移解问题,同时也穿过了准确的摄像背景颜色。我们这样做的方式是优化线性色彩校正变换,以便:1)在摄影机视野中可见的LED面板像素,2)在照相机外照亮主题的像素,3)作为后期过程,摄像头记录的像素值。结果是,在RGB LED面板虚拟生产阶段拍摄的镜头可以显示更准确的皮肤和服装颜色,同时仍然复制摄像头背景所需的颜色。