当前位置: X-MOL 学术Int. J. Comput. Vis. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An Approximate Shading Model with Detail Decomposition for Object Relighting
International Journal of Computer Vision ( IF 19.5 ) Pub Date : 2018-04-30 , DOI: 10.1007/s11263-018-1090-6
Zicheng Liao , Kevin Karsch , Hongyi Zhang , David Forsyth

We present an object relighting system that allows an artist to select an object from an image and insert it into a target scene. Through simple interactions, the system can adjust illumination on the inserted object so that it appears naturally in the scene. To support image-based relighting, we build object model from the image, and propose a perceptually-inspired approximate shading model for the relighting. It decomposes the shading field into (a) a rough shape term that can be reshaded, (b) a parametric shading detail that encodes missing features from the first term, and (c) a geometric detail term that captures fine-scale material properties. With this decomposition, the shading model combines 3D rendering and image-based composition and allows more flexible compositing than image-based methods. Quantitative evaluation and a set of user studies suggest our method is a promising alternative to existing methods of object insertion.

中文翻译:

一种具有细节分解的物体重新照明的近似着色模型

我们提出了一个对象重新照明系统,它允许艺术家从图像中选择一个对象并将其插入到目标场景中。通过简单的交互,系统可以调整插入对象的照明,使其自然地出现在场景中。为了支持基于图像的重新照明,我们从图像构建对象模型,并提出了一种受感知启发的近似着色模型用于重新照明。它将着色字段分解为 (a) 可以重新着色的粗略形状项,(b) 对第一项中缺失的特征进行编码的参数化着色细节,以及 (c) 捕获精细尺度材料属性的几何细节项。通过这种分解,着色模型结合了 3D 渲染和基于图像的合成,并允许比基于图像的方法更灵活的合成。
更新日期:2018-04-30
down
wechat
bug