首页> 外文会议>2011 International symposium on innovations in intelligent systems and applications >Determining illumination sources in frontal face images using salient samples from a face depth map
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Determining illumination sources in frontal face images using salient samples from a face depth map

机译:使用面部深度图中的显着样本确定正面面部图像中的照明源

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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,该方法用于使用一般的面部深度图来确定多个光源照亮面部,以产生可比的图像。 3D脸部深度图由已知来源从几个已知方向人工照​​射,并从每个所得图像中收集一组样本。来自被探测的面部图像的这些和相应的样本被用于找到产生人造面部图像的光源矢量,该人造面部图像的样本被最佳地类似于被探测的面部被照亮。由于人工数据是预先计算和存储的,因此对于给定的正面图像,照度计算非常快。

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