@ARTICLE{1566Dudek2019,
	AUTHOR = {Roman Dudek and Simone Croci and Aljosa Smolic and Sebastian Knorr},
	TITLE = {Robust Global and Local Color Matching in Stereoscopic Omnidirectional Content},
	JOURNAL = {Signal Processing: Image Communication},
	YEAR = {2019},
	MONTH = may,
	PAGES = {231--241},
	VOLUME = {74},
	PDF = {http://elvera.nue.tu-berlin.de/files/1566Dudek2019.pdf},
	DOI = {https://doi.org/10.1016/j.image.2019.02.013},
	URL = {http://elvera.nue.tu-berlin.de/files/1566Dudek2019.pdf},
	ABSTRACT = {Shooting a live-action immersive 360-degree experience, i.e. omnidirectional content (ODC) is a technological challenge as there are many technical limitations which need to be overcome, especially for capturing and post-processing in stereoscopic 3D (S3D). In this paper, we introduce a novel approach and entire system for stitching and color mismatch correction and detection in S3D omnidirectional content, which consists of three main modules: pre-processing,spherical color correction and color mismatch evaluation. The system and its individual modules are evaluated on two datasets, including a new dataset which will be publicly available with this paper. We show that our system outperforms the state of the art in color correction of S3D ODC and demonstrate that our spherical color correction module even further improves the results of the state of the art approaches.}
}