A Bayesian Approach for Selective Image-Based Rendering using Superpixels
| Autor: | Abdelaziz Djelouah, Rodrigo Ortiz Cayon, George Drettakis |
|---|---|
| Přispěvatelé: | GRAPHics and DEsign with hEterogeneous COntent (GRAPHDECO), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-13-CORD-0003,SEMAPOLIS,Analyse sémantique visuelle et reconstruction 3D sémantisée d'environnements urbains(2013), European Project: 611089,EC:FP7:ICT,FP7-ICT-2013-10,CR-PLAY(2013) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Pixel
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image-based modeling and rendering Real-time rendering 3D rendering ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Rendering (computer graphics) Maximum a posteriori estimation Computer vision Tiled rendering Artificial intelligence business Alternate frame rendering ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | International Conference on 3D Vision-3DV International Conference on 3D Vision-3DV, Oct 2015, Lyon, France 3DV |
| Popis: | International audience; Image-Based Rendering (IBR) algorithms generate highquality photo-realistic imagery without the burden of detailedmodeling and expensive realistic rendering. Recentmethods have different strengths and weaknesses, dependingon 3D reconstruction quality and scene content. Eachalgorithm operates with a set of hypotheses about the sceneand the novel views, resulting in different quality/speedtrade-offs in different image regions. We present a principledapproach to select the algorithm with the best quality/speedtrade-off in each region. To do this, we proposea Bayesian approach, modeling the rendering quality, therendering process and the validity of the assumptions ofeach algorithm. We then choose the algorithm to use withMaximum a Posteriori estimation. We demonstrate the utilityof our approach on recent IBR algorithms which useoversegmentation and are based on planar reprojection andshape-preserving warps respectively. Our algorithm selectsthe best rendering algorithm for each superpixel in apreprocessing step; at runtime our selective IBR uses thischoice to achieve significant speedup at equivalent or betterquality compared to previous algorithms. |
| Databáze: | OpenAIRE |
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