Automatic geometry and lighting inference for realistic image editing
    21.
    发明授权
    Automatic geometry and lighting inference for realistic image editing 有权
    自动几何和照明推理,用于逼真的图像编辑

    公开(公告)号:US09299188B2

    公开(公告)日:2016-03-29

    申请号:US13962604

    申请日:2013-08-08

    Abstract: Image editing techniques are disclosed that support a number of physically-based image editing tasks, including object insertion and relighting. The techniques can be implemented, for example in an image editing application that is executable on a computing system. In one such embodiment, the editing application is configured to compute a scene from a single image, by automatically estimating dense depth and diffuse reflectance, which respectively form the geometry and surface materials of the scene. Sources of illumination are then inferred, conditioned on the estimated scene geometry and surface materials and without any user input, to form a complete 3D physical scene model corresponding to the image. The scene model may include estimates of the geometry, illumination, and material properties represented in the scene, and various camera parameters. Using this scene model, objects can be readily inserted and composited into the input image with realistic lighting, shadowing, and perspective.

    Abstract translation: 公开了支持许多基于物理的图像编辑任务的图像编辑技术,包括对象插入和重新点亮。 这些技术可以被实现,例如在可在计算系统上执行的图像编辑应用中。 在一个这样的实施例中,编辑应用被配置为通过自动估计分别形成场景的几何和表面材料的密集深度和漫反射度来从单个图像计算场景。 然后推断照明源,根据估计的场景几何和表面材料进行调节,而无需任何用户输入,以形成对应于图像的完整3D物理场景模型。 场景模型可以包括在场景中表示的几何,照明和材料属性以及各种相机参数的估计。 使用这个场景模型,可以使用逼真的照明,阴影和透视,将对象轻松插入并合成到输入图像中。

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