From 2D images to 2.5D sprites: a layered approach to modeling 3D scenes
From 2D images to 2.5D sprites: a layered approach to modeling 3D scenes
复制标题
从 2D 图像到 2.5D 精灵：3D 场景建模的分层方法
DOI：
--
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Simon Baker
中科院分区：
文献类型：
--
作者：
R. Szeliski;P. Anandan;Simon Baker
我们提出了一个框架，用于建模的外观和几何形状的3D场景作为一个集合的约2D层。每一层对应于场景的一部分的基于视图的表示，其跨给定视图集合的视差可使用平面表面来近似地建模。每个层的表示由平面的参数、指定场景该部分外观的彩色图像、每像素不透明度贴图和相对于标称平面的每像素深度偏移组成。通过分析输入图像上的像素差异来恢复层。深度和颜色信息可以从多个图像中集成，即使在某些视图中可能被部分遮挡的区域中。通过从该视图渲染每个单独的层并以从后到前的顺序组合层图像，可以有效地生成场景的新视图。来自不同场景的层可以组合成具有逼真外观和几何效果的新合成场景，用于多媒体创作应用程序。
We propose a framework for modeling the appearance and geometry of 3D scenes as a collection of approximately 2D layers. Each layer corresponds to a view-based representation of a portion of the scene whose disparity across the given set of views can be approximately modeled using a planar surface. The representation of each layer consists of the parameters of the plane, a color image that specifies the appearance of that portion of the scene, a per-pixel opacity map, and a per-pixel depth offset relative to the nominal plane. The layers are recovered by analyzing the pixel disparities across the input images. Depth and color information can be integrated from multiple images even in regions that may be partially occluded in some of the views. New views of the scene can be generated efficiently by rendering each individual layer from that view and combining the layer images in a back to front order. Layers from different scenes can be combined into a new synthetic scene with realistic appearance and geometric effects for multimedia authoring applications.
关于抑制约束误差的爱因斯坦方程离散格式
DOI：
--
发表时间：
2020
期刊：
影响因子：
--
作者：
石井 将大;照屋 唯紀;安田 貴徳;Sabrou Saitoh;H. Kawasaki;星野秀朋，佐藤慧，米田元
通讯作者：
星野秀朋，佐藤慧，米田元