@conference {vianello2018,
	title = {Robust Hough transform based 3D reconstruction from circular light fields},
	booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
	year = {2018},
	doi = {10.1109/CVPR.2018.00765},
	author = {Alessandro Vianello and Jens Ackermann and Maximilian Diebold and Bernd J{\"a}hne}
}
@article {Vianello-etal-2017-TM,
	title = {3D reconstruction by a combined structure tensor and Hough transform light field approach},
	journal = {tm - Technisches Messen},
	year = {2017},
	abstract = {Disparity estimation using the structure tensor is a local approach to determine orientation in Epipolar Plane Images. A global extension would lead to more precise and robust estimations. In this work, a novel algorithm for 3D reconstruction from linear light fields is proposed. This method uses a modified version of the Progressive Probabilistic Hough Transform to extract orientations from Epipolar Plane Images, allowing to achieve high quality disparity maps. To this aim, the structure tensor estimates are used to speed up computation and improve the disparity estimation near occlusion boundaries. The new algorithm is evaluated on both synthetic and real light field datasets, and compared with classical local disparity estimation techniques based on the structure tensor.},
	doi = {10.1515/teme-2017-0010},
	author = {Alessandro Vianello and Giulio Manfredi and Maximilian Diebold and Bernd J{\"a}hne}
}
@phdthesis {vianello207,
	title = {Robust 3D Surface Reconstruction from Light Fields},
	volume = {Dissertation},
	year = {2017},
	publisher = {IWR, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00023819},
	author = {Alessandro Vianello}
}
@proceedings {schilling-etal-2016-ForumBildverarbeitung,
	title = {3D Reconstruction by a Combined Structure Tensor and Hough Transform Light-Field Approach},
	year = {2016},
	abstract = {Disparity estimation using the structure tensor is a local approach to determine orientation in Epipolar Plane Images. A global extension would lead to more precise and robust estimations. In this work, a novel algorithm for 3D reconstruction from linear light fields is porposed. It uses a modified Progressive Probabilistic Hough Transform, in combination with the structure tensor, to extract orientations from Epipolar Plane Images edge maps, allowing to achieve high quality disparity maps.},
	isbn = {978-3-7315-0587-7},
	doi = {10.5445/KSP/1000059899},
	url = {https://doi.org/10.5445/KSP/1000059899},
	author = {Alessandro Vianello and Giulio Manfredi and Maximilian Diebold and Bernd J{\"a}hne}
}
