Recovery of Reflectances and Varying Illuminants from Multiple Views
Abstract
We introduce a new methodology for radiometric reconstruction from multiple images. It opens new possibilities because it allows simultaneous recovery of varying unknown illuminants (one per image), surface albedoes, and cameras’ radiometric responses. Designed to complement geometric reconstruction techniques, it only requires as input the geometry of the scene and of the cameras. Unlike photometric stereo approaches, it is not restricted to images taken from a single viewpoint. Linear and non-linear implementations in the Lambertian case are proposed; simulation results are discussed and compared to related work to demonstrate the gain in stability; and results on real images are shown.
Cite
Text
Luong et al. "Recovery of Reflectances and Varying Illuminants from Multiple Views." European Conference on Computer Vision, 2002. doi:10.1007/3-540-47977-5_11Markdown
[Luong et al. "Recovery of Reflectances and Varying Illuminants from Multiple Views." European Conference on Computer Vision, 2002.](https://mlanthology.org/eccv/2002/luong2002eccv-recovery/) doi:10.1007/3-540-47977-5_11BibTeX
@inproceedings{luong2002eccv-recovery,
title = {{Recovery of Reflectances and Varying Illuminants from Multiple Views}},
author = {Luong, Quang-Tuan and Fua, Pascal and Leclerc, Yvan G.},
booktitle = {European Conference on Computer Vision},
year = {2002},
pages = {163-179},
doi = {10.1007/3-540-47977-5_11},
url = {https://mlanthology.org/eccv/2002/luong2002eccv-recovery/}
}