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Determining illumination sources in frontal face images using salient samples from a face depth map

机译:使用面部深度图的突出样本确定正面图像中的照明源

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An efficient method is presented for determining multiple light sources illuminating faces using a general face depth map for comparable image generation. A 3D face depth map is artificially illuminated by known sources from several known directions and a set of samples from each resulting image is collected. These and corresponding samples from probed face image are used to find the light source vectors that generates an artificial face image whose samples are illuminated optimally similar to the probed face. Since the artificial data are pre-calculated and stored, illumination calculation is quite fast for a given frontal face image.
机译:提出了一种有效的方法,用于使用一般的面部深度图来确定多个光源照明面部,用于相当的图像生成。 通过来自若干已知方向的已知源是人为地照射的3D面深,并且收集来自每个所得图像的一组样本。 来自探测面部图像的这些和相应的样本用于找到产生人工面部图像的光源矢量,其样本与探测面最佳地照亮。 由于预先计算和存储的人工数据,对于给定的正面图像来说,照明计算非常快。

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