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• W3012435265 abstract "Efficient and accurate segmentation of full 4D light fields is an important task in computer vision and computer graphics. The massive volume and the redundancy of light fields make it an open challenge. In this article, we propose a novel light field hypergraph (LFHG) representation using the light field super-pixel (LFSP) for interactive light field segmentation. The LFSPs not only maintain the light field spatio-angular consistency, but also greatly contribute to the hypergraph coarsening. These advantages make LFSPs useful to improve segmentation performance. Based on the LFHG representation, we present an efficient light field segmentation algorithm via graph-cut optimization. Experimental results on both synthetic and real scene data demonstrate that our method outperforms state-of-the-art methods on the light field segmentation task with respect to both accuracy and efficiency." @default.
• W3012435265 created "2020-03-23" @default.
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• W3012435265 date "2021-09-01" @default.
• W3012435265 modified "2023-10-17" @default.
• W3012435265 title "4D Light Field Segmentation From Light Field Super-Pixel Hypergraph Representation" @default.
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• W3012435265 doi "https://doi.org/10.1109/tvcg.2020.2982158" @default.
• W3012435265 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32203022" @default.
• W3012435265 hasPublicationYear "2021" @default.
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