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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Hamad, M., Conti, C., Almeida, A. M. de., Nunes, P. & Soares, L. D. (2021). SLFS: Semi-supervised light-field foreground-background segmentation. In 2021 Telecoms Conference (ConfTELE). Leiria: IEEE.
Exportar Referência (IEEE)
M. F. Hamad et al.,  "SLFS: Semi-supervised light-field foreground-background segmentation", in 2021 Telecoms Conf. (ConfTELE), Leiria, IEEE, 2021
Exportar BibTeX
	author = "Hamad, M. and Conti, C. and Almeida, A. M. de. and Nunes, P. and Soares, L. D.",
	title = "SLFS: Semi-supervised light-field foreground-background segmentation",
	booktitle = "2021 Telecoms Conference (ConfTELE)",
	year = "2021",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ConfTELE50222.2021.9435461",
	publisher = "IEEE",
	address = "Leiria",
	organization = "ESTG/Polytechnic of Leiria",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9435429/proceeding"
Exportar RIS
TI  - SLFS: Semi-supervised light-field foreground-background segmentation
T2  - 2021 Telecoms Conference (ConfTELE)
AU  - Hamad, M.
AU  - Conti, C.
AU  - Almeida, A. M. de.
AU  - Nunes, P.
AU  - Soares, L. D.
PY  - 2021
DO  - 10.1109/ConfTELE50222.2021.9435461
CY  - Leiria
UR  - https://ieeexplore.ieee.org/xpl/conhome/9435429/proceeding
AB  - Efficient segmentation is a fundamental problem in computer vision and image processing. Achieving accurate segmentation for 4D light field images is a challenging task due to the huge amount of data involved and the intrinsic redundancy in this type of images. While automatic image segmentation is usually challenging, and because regions of interest are different for different users or tasks, this paper proposes an improved semi-supervised segmentation approach for 4D light field images based on an efficient graph structure and user's scribbles. The recent view-consistent 4D light field superpixels algorithm proposed by Khan et al. is used as an automatic pre-processing step to ensure spatio-angular consistency and to represent the image graph efficiently. Then, segmentation is achieved via graph-cut optimization. Experimental results for synthetic and real light field images indicate that the proposed approach can extract objects consistently across views, and thus it can be used in applications such as augmented reality applications or object-based coding with few user interactions.
ER  -