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Determining foreground regions and background regions in an image

机译:确定图像中的前景区域和背景区域

摘要

A system for providing augmented reality detects foreground occluders in an image of a video stream. One or more virtual objects are then rendered appropriately with respect to the occluders. Location information associated with the image is used to retrieve a three dimensional representation of the location where the image was taken. Features that are expected to appear in the image based on the three dimensional location but that cannot be located are used to determine regions of the image that are likely to include foreground occluders. Pixels in these regions are used to train a color model that classifies pixels as either part of the background of the image or part of one or more foreground occluders. The pixels in the image are classified using the model, and one or more virtual objects are rendered so that they appear behind any foreground occluders.
机译:用于提供增强现实的系统检测视频流的图像中的前景遮挡物。然后相对于遮挡物适当地渲染一个或多个虚拟对象。与图像关联的位置信息用于检索拍摄图像的位置的三维表示。基于三维位置预期会出现在图像中但无法定位的特征用于确定图像中可能包含前景遮挡物的区域。这些区域中的像素用于训练颜色模型,该模型将像素分类为图像背景的一部分或一个或多个前景遮挡器的一部分。使用模型对图像中的像素进行分类,并渲染一个或多个虚拟对象,使它们出现在任何前景遮挡物的后面。

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