A Hierarchical Superpixel-Based Approach for DIBR View Synthesis
| Autor: | Marcelo Walter, Adriano Quilião de Oliveira, Claudio Rosito Jung, Thiago L. T. da Silveira |
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| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Pipeline (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative reconstruction Computer Graphics and Computer-Aided Design Rendering (computer graphics) Visualization View synthesis Depth map Path (graph theory) Computer vision Artificial intelligence Image warping business Software |
| Zdroj: | IEEE Transactions on Image Processing. 30:6408-6419 |
| ISSN: | 1941-0042 1057-7149 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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