Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects
Abstract
This paper presents a photometric stereo method that works for optically thick translucent objects exhibiting subsurface scattering. Our method is built upon the previous studies showing that subsurface scattering is approximated as convolution with a blurring kernel. We extend this observation and show that the original surface normal convolved with the scattering kernel corresponds to the blurred surface normal that can be obtained by a conventional photometric stereo technique. Based on this observation, we cast the photometric stereo problem for optically thick translucent objects as a deconvolution problem, and develop a method to recover accurate surface normals. Experimental results of both synthetic and real-world scenes show the effectiveness of the proposed method.
Cite
Text
Inoshita et al. "Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10605-2_23Markdown
[Inoshita et al. "Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/inoshita2014eccv-surface/) doi:10.1007/978-3-319-10605-2_23BibTeX
@inproceedings{inoshita2014eccv-surface,
title = {{Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects}},
author = {Inoshita, Chika and Mukaigawa, Yasuhiro and Matsushita, Yasuyuki and Yagi, Yasushi},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {346-359},
doi = {10.1007/978-3-319-10605-2_23},
url = {https://mlanthology.org/eccv/2014/inoshita2014eccv-surface/}
}