Reconstructing the Surface of Inhomogeneous Transparent Scenes by Scatter-Trace Photography
Abstract
We present a new method for reconstructing the exterior surface of a complex transparent scene with inhomogeneous interior (e.g., multiple interfaces, reflective or painted interiors, etc). Our approach involves capturing images of the scene from one or more viewpoints while moving a proximal light source to a 2D or 3D set of positions. This gives a 2D (or 3D) dataset per pixel, called the scatter trace. The key idea of our approach is that even though light transport within a transparent scene’s interior can be exceedingly complex, the scatter trace of each pixel has a highlyconstrained geometry that (1) reveals the contribution of direct surface reflection, and (2) leads to a simple “scattertrace stereo ” algorithm for computing the local geometry of the exterior surface (depth and surface normals). We present 3D reconstruction results for a variety of scenes that exhibit complex light transport phenomena.
Cite
Text
Morris and Kutulakos. "Reconstructing the Surface of Inhomogeneous Transparent Scenes by Scatter-Trace Photography." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408882Markdown
[Morris and Kutulakos. "Reconstructing the Surface of Inhomogeneous Transparent Scenes by Scatter-Trace Photography." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/morris2007iccv-reconstructing/) doi:10.1109/ICCV.2007.4408882BibTeX
@inproceedings{morris2007iccv-reconstructing,
title = {{Reconstructing the Surface of Inhomogeneous Transparent Scenes by Scatter-Trace Photography}},
author = {Morris, Nigel J. W. and Kutulakos, Kiriakos N.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4408882},
url = {https://mlanthology.org/iccv/2007/morris2007iccv-reconstructing/}
}