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Image-based material editing.

机译:基于图像的材质编辑。

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摘要

Photo editing software allows digital images to be blurred, warped or re-colored at the touch of a button. However, it is not currently possible to change the material appearance of an object except by painstakingly painting over the appropriate pixels. Here we present a set of methods for automatically replacing one material with another, completely different material, starting with only a single high dynamic range image, and an alpha matte specifying the object. Our approach exploits the fact that human vision is surprisingly tolerant of certain (sometimes enormous) physical inaccuracies. Thus, it may be possible to produce a visually compelling illusion of material transformations, without fully reconstructing the lighting or geometry. We employ a range of algorithms depending on the target material. First, an approximate depth map is derived from the image intensities using bilateral filters. The resulting surface normals are then used to map data onto the surface of the object to specify its material appearance. To create transparent or translucent materials, the mapped data are derived from the object's background. To create textured materials, the mapped data are a texture map. The surface normals can also be used to apply arbitrary bidirectional reflectance distribution functions to the surface, allowing us to simulate a wide range of materials. To facilitate the process of material editing, we generate the HDR image with a novel algorithm, that is robust against noise in individual exposures. This ensures that any noise, which would possibly have affected the shape recovery of the objects adversely, will be removed. We also present an algorithm to automatically generate alpha mattes. This algorithm requires as input two images---one where the object is in focus, and one where the background is in focus---and then automatically produces an approximate matte, indicating which pixels belong to the object. The result is then improved by a second algorithm to generate an accurate alpha matte, which can be given as input to our material editing techniques.
机译:通过照片编辑软件,只需按一下按钮即可使数字图像模糊,变形或重新着色。但是,除非通过在适当的像素上精心绘画,否则当前无法更改对象的材质外观。在这里,我们提供了一套方法,可以自动从另一种材质完全替换为另一种材质,仅从单个高动态范围图像和指定对象的alpha遮罩开始。我们的方法利用了这样一个事实,即人类的视觉惊奇地容忍了某些(有时是巨大的)物理上的不准确性。因此,有可能在不完全重建照明或几何形状的情况下,产生令人信服的材料转换错觉。我们根据目标材料采用一系列算法。首先,使用双边滤波器从图像强度得出近似深度图。然后将所得的表面法线用于将数据映射到对象的表面以指定其材料外观。为了创建透明或半透明的材质,映射的数据是从对象的背景中得出的。要创建纹理材料,映射的数据是纹理贴图。表面法线还可以用于将任意双向反射率分布函数应用于表面,从而使我们能够模拟各种材料。为了简化素材编辑过程,我们使用一种新颖的算法生成了HDR图像,该算法可抵抗单个曝光中的噪声。这确保将消除可能对物体的形状恢复产生不利影响的任何噪音。我们还提出了一种自动生成alpha遮罩的算法。此算法需要输入两张图像作为输入(一幅对象处于焦点位置,一幅背景处于焦点位置),然后自动生成一个近似的遮罩,以指示哪些像素属于该对象。然后,通过第二种算法改进结果以生成准确的alpha遮罩,可以将其作为我们的材质编辑技术的输入。

著录项

  • 作者

    Khan, Erum Arif.;

  • 作者单位

    University of Central Florida.;

  • 授予单位 University of Central Florida.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术 ;
  • 关键词

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