论文标题
在一袋筹码中看到世界
Seeing the World in a Bag of Chips
论文作者
论文摘要
我们解决了手持RGBD传感器的新型视图合成和环境重建的双重问题。我们的贡献包括1）建模高度镜子，2）建模对反射和菲涅尔效应的建模，以及3）启用表面光场重建，其单独重建形状所需的输入相同。如果场景表面具有强烈的镜面材料组件，我们会产生高度详细的环境图像，揭示房间组成，物体，人，建筑物和树木，可通过窗户可见。我们的方法产生了最先进的视图合成技术，在低动态范围图像上运行，并且对几何和校准误差具有鲁棒性。
We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors. Our contributions include 1) modeling highly specular objects, 2) modeling inter-reflections and Fresnel effects, and 3) enabling surface light field reconstruction with the same input needed to reconstruct shape alone. In cases where scene surface has a strong mirror-like material component, we generate highly detailed environment images, revealing room composition, objects, people, buildings, and trees visible through windows. Our approach yields state of the art view synthesis techniques, operates on low dynamic range imagery, and is robust to geometric and calibration errors.
