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Image-Based Modeling and Photo Editing

机译:基于图像的建模和照片编辑

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We present an image-based modeling and editing system that takes a single photo as input. We represent a scene as a layered collection of depth images, where each pixel encodes both color and depth. Starting from an input image, we employ a suite of user-assisted techniques, based on a painting metaphor, to assign depths and extract layers. We introduce two specific editing operations. The first, a "clone brushing tool," permits the distortion-free copying of parts of a picture, by using a parameterization optimization technique. The second, a "texture-illuminance decoupling filter," discounts the effect of illumination on uniformly textured areas, by decoupling large- and small-scale features via bilateral filtering. Our system enables editing from different viewpoints, extracting and grouping of image-based objects, and modifying the shape, color, and illumination of these objects.
机译:我们介绍了一种基于图像的建模和编辑系统,将单个照片作为输入。我们将场景称为深度图像的分层集合,其中每个像素对两种颜色和深度进行编码。从输入图像开始,我们使用基于绘画隐喻的用户辅助技术套件来分配深度和提取层。我们介绍了两个特定的编辑操作。首先,通过使用参数化优化技术,允许“克隆刷牙工具”允许自由变复印图片。第二,“纹理 - 照明解耦滤波器”,通过双边滤波解耦大小和小规模特征,折扣照明对均匀纹理区域的影响。我们的系统可以从不同的视点,提取和分组基于图像的对象,并修改这些对象的形状,颜色和照明来编辑。

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