@inproceedings{846ad43b3bdb4b4baefcc30ceabbd27f,
title = "Inline Double Layer Depth Estimation with Transparent Materials",
abstract = "3D depth computation from stereo data has been one of the most researched topics in computer vision. While state-of-art approaches have flourished over time, reconstruction of transparent materials is still considered an open problem. Based on 3D light field data we propose a method to obtain smooth and consistent double-layer estimates of scenes with transparent materials. Our novel approach robustly combines estimates from models with different layer hypotheses in a cost volume with subsequent minimization of a joint second order TGV energy on two depth layers. Additionally we showcase the results of our approach on objects from common inspection use-cases in an industrial setting and compare our work to related methods.",
author = "Christian Kopf and Thomas Pock and Bernhard Blaschitz and Svorad {\v S}tolc",
year = "2021",
month = mar,
day = "17",
doi = "10.1007/978-3-030-71278-5_30",
language = "English",
isbn = "978-3-030-71277-8",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "418--431",
editor = "Akata, {Zeynep } and Geiger, {Andreas } and Sattler, {Torsten }",
booktitle = "Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Proceedings",
note = "42nd German Conference on Pattern Recognition, DAGM GCPR 2020 ; Conference date: 28-09-2020 Through 01-10-2020",
}