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Webcam based display calibration

机译:基于网络摄像头的显示校准

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We present an automatic method for measuring the tone response curve of display devices based on visual methods, where the eye is replaced by an end-user, uncalibrated camera, such as a webcam. Our approach compares a series of halftoned patches of known covering ratio with a continuous series of tone patches for each ratio. Both patches are shot by a camera that is used as a virtual eye to evaluate the luminance difference. By an iterative process, the continuous tone value is adjusted while compared with the perceived level of the halftoned patch. When the camera does not see any difference between the patches or a minimal difference, the luminance level of the continuous patch corresponds to the relative luminance of the halftoned patch covering ratio. We demonstrate that the method is as accurate as an equivalent visual method. The advantage of using a camera over the human eye is due to the limitation of observer variability while performing visual tasks.
机译:我们提出了一种用于测量基于视觉方法的显示设备的音调响应曲线的自动方法,其中眼睛由最终用户,未校准相机(例如网络摄像头)替换。我们的方法将一系列已知覆盖比的一系列半色调斑块与每个比例的连续系列贴片。这两个补丁都被用作虚拟眼睛的相机拍摄,以评估亮度差异。通过迭代过程,与半色调补丁的感知水平相比,调整连续音调值。当摄像机没有看到贴片或最小差值之间的任何差异时,连续贴片的亮度水平对应于半色调补丁覆盖率的相对亮度。我们证明该方法与等同的视觉方法一样准确。在人眼上使用相机的优点是由于在执行视觉任务时的观察者变异性的限制。

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