Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction
Abstract
This paper is about automatically reconstructing the full 3D surface of an object observed in motion by a single static camera. We introduce the geotensity constraint that governs the relationship between four images of a moving object under fairly general lighting conditions. We show that it is possible in theory to solve for 3D surface structure for both the case of a single point light source and a pair of point, light sources and propose that a solution exists for an arbitrary number point light sources. The surface may or may not be textured. We then give an example of automatic surface reconstruction of a face under a point light source. The geotensity constraint provides the theoretical foundation for the full automatic 3D reconstruction of Lambertian objects using a single fixed camera, and arbitrary unknown object motion under arbitrary lighting conditions.
Cite
Text
Maki et al. "Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710847Markdown
[Maki et al. "Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/maki1998iccv-geotensity/) doi:10.1109/ICCV.1998.710847BibTeX
@inproceedings{maki1998iccv-geotensity,
title = {{Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction}},
author = {Maki, Atsuto and Watanabe, Mutsumi and Wiles, Charles},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {1053-1060},
doi = {10.1109/ICCV.1998.710847},
url = {https://mlanthology.org/iccv/1998/maki1998iccv-geotensity/}
}