Image-based modeling and photo editing
Image-based modeling and photo editing
复制标题
DOI：
10.1145/383259.383310
复制
发表时间：
2001-08
期刊：
影响因子：
--
通讯作者：
B. Oh;Max Chen;Julie Dorsey;F. Durand
中科院分区：
文献类型：
--
作者：
B. Oh;Max Chen;Julie Dorsey;F. Durand
我们提出了一个基于图像的建模和编辑系统，需要一个单一的照片作为输入。我们将场景表示为深度图像的分层集合，其中每个像素都编码颜色和深度。从输入图像开始，我们采用了一套用户辅助技术，基于绘画隐喻，分配深度和提取层。我们介绍两种具体的编辑操作。第一个是“克隆刷工具”，通过使用参数化优化技术，允许对图片的部分进行无失真复制。第二，一个“纹理照明解耦过滤器，”折扣均匀纹理区域上的照明效果，通过解耦大规模和小规模的功能，通过双边过滤。我们的系统可以从不同的角度进行编辑，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。
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.