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• W3175965986 abstract "View synthesis allows observers to explore static scenes using aligned color images and depth maps captured in a preset camera path. Among the options, depth-image-based rendering (DIBR) approaches have been effective and efficient since only one pair of color and depth map is required, saving storage and bandwidth. The present work proposes a novel DIBR pipeline for view synthesis that properly tackles the different artifacts that arise from 3D warping, such as cracks, disocclusions, ghosts, and out-of-field areas. A key aspect of our contributions relies on the adaptation and usage of a hierarchical image superpixel algorithm that helps to maintain structural characteristics of the scene during image reconstruction. We compare our approach with state-of-the-art methods and show that it attains the best average results in two common assessment metrics under public still-image and video-sequence datasets. Visual results are also provided, illustrating the potential of our technique in real-world applications." @default.
• W3175965986 created "2021-07-05" @default.
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• W3175965986 date "2021-01-01" @default.
• W3175965986 modified "2023-09-27" @default.
• W3175965986 title "A Hierarchical Superpixel-Based Approach for DIBR View Synthesis" @default.
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• W3175965986 doi "https://doi.org/10.1109/tip.2021.3092817" @default.
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