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公开(公告)号：US08983152B2
公开(公告)日：2015-03-17
申请号：US13894384
申请日：2013-05-14
Applicant: Google Inc.
Inventor： Justin Lewis , Gavin James , Grayson Lang , Aravind Krishnaswamy , Sevket Derin Babacan
CPC classification number: G06K9/00234 , G06K9/00248 , G06K9/342 , G06K9/4652 , G06T5/002 , G06T5/008 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/30201
Abstract: In some implementations, a method includes identifying one or more face regions of an image, the face regions including pixels that depict at least a portion of one or more faces of persons. The face regions are identified based on identifying facial landmarks of the faces. The method determines an associated face mask for each of the faces based on the face regions, where each face mask indicates which pixels in the image depict the corresponding face. Face pixels can be selected for processing by applying the face masks, and image pixels outside the faces can be selected by inversely applying the face masks. The selected pixels can be provided to a processing operation for adjustment of the selected pixels.
Abstract translation: 在一些实现中，一种方法包括识别图像的一个或多个面部区域，所述面部区域包括描绘人的一个或多个面部的至少一部分的像素。 基于识别面部的面部标志来识别面部区域。 该方法基于面部区域确定每个面部的相关面罩，其中每个面罩指示图像中的哪些像素描绘对应的面部。 可以通过应用面罩来选择面部像素进行处理，并且可以通过反面应用面罩来选择面部之外的图像像素。 可以将所选择的像素提供给用于调整所选像素的处理操作。
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公开(公告)号：US08983188B1
公开(公告)日：2015-03-17
申请号：US13894390
申请日：2013-05-14
Applicant: Google Inc.
Inventor： Grayson Lang , Krishnendu Chaudhury
CPC classification number: G06T5/002 , G06T5/20 , G06T2207/10024 , G06T2207/20192
Abstract: In some implementations of edge-aware smoothing, a method includes determining a boundary map for an input image, where the boundary map associates one of multiple different labels to each pixel of the input image, and the labels indicate one or more edges in the input image. The method determines a set of input pixels of the input image eligible to influence an output pixel of an output image, the output pixel corresponding to a pixel of the input image. A blurred pixel value for the output pixel is determined, where the blurred pixel value is based on the set of input pixels and associated labels from the boundary map that correspond to the set of input pixels. The associated labels are used to reduce blurring in the output image of any of the one or more edges present in the set of input pixels.
Abstract translation: 在边缘感知平滑的一些实现中，一种方法包括确定输入图像的边界图，其中边界图将多个不同标签之一与输入图像的每个像素相关联，并且标签指示输入中的一个或多个边缘 图片。 该方法确定有效影响输出图像的输出像素的输入图像的一组输入像素，输出像素对应于输入图像的像素。 确定输出像素的模糊像素值，其中模糊像素值基于来自对应于输入像素集合的边界图的输入像素和相关联的标签集合。 相关联的标签用于减少在输入像素组中存在的一个或多个边缘中的任何一个的输出图像中的模糊。
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公开(公告)号：US20140341442A1
公开(公告)日：2014-11-20
申请号：US13894384
申请日：2013-05-14
Applicant: Google Inc.
Inventor： Justin Lewis , Gavin James , Grayson Lang , Aravind Krishnaswamy , Sevket Derin Babacan
CPC classification number: G06K9/00234 , G06K9/00248 , G06K9/342 , G06K9/4652 , G06T5/002 , G06T5/008 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/30201
Abstract: In some implementations, a method includes identifying one or more face regions of an image, the face regions including pixels that depict at least a portion of one or more faces of persons. The face regions are identified based on identifying facial landmarks of the faces. The method determines an associated face mask for each of the faces based on the face regions, where each face mask indicates which pixels in the image depict the corresponding face. Face pixels can be selected for processing by applying the face masks, and image pixels outside the faces can be selected by inversely applying the face masks. The selected pixels can be provided to a processing operation for adjustment of the selected pixels.
Abstract translation: 在一些实现中，一种方法包括识别图像的一个或多个面部区域，所述面部区域包括描绘人的一个或多个面部的至少一部分的像素。 基于识别面部的面部标志来识别面部区域。 该方法基于面部区域确定每个面部的相关面罩，其中每个面罩指示图像中的哪些像素描绘对应的面部。 可以通过应用面罩来选择面部像素进行处理，并且可以通过反面应用面罩来选择面部之外的图像像素。 可以将所选择的像素提供给用于调整所选像素的处理操作。
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