Abstract | ||
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Real-time depth of field (DoF) rendering is crucial to realistic image synthesis and VR applications. This paper presents a new method to simulate the depth-of-field effects with bilateral depth filtering. Unlike the traditional rendering methods that handle the depth-of-field with Gaussian filtering, we develop a new DoF filter, called adaptive bilateral depth filter, to adaptively postfilter the pixels according to their depth variance. Depth information is used to focus on the objects with edge-preserving property. Our approach can eliminate the artifacts of intensity leakage, which can generate adaptive high-quality DoF rendering effects dynamically, and can be fully implemented in GPU parallelization. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-34263-9_33 | CVM |
Keywords | Field | DocType |
depth information,adaptive high-quality dof rendering,bilateral depth,accurate depth-of-field rendering,real-time depth,adaptive bilateral depth filter,depth-of-field effect,new dof filter,depth variance,effects dynamically,traditional rendering method,virtual reality,post processing,depth of field | Computer vision,Virtual reality,Depth filter,Computer graphics (images),Computer science,Filter (signal processing),Image synthesis,Gaussian,Pixel,Artificial intelligence,Rendering (computer graphics),Depth of field | Conference |
Citations | PageRank | References |
3 | 0.41 | 14 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shang Wu | 1 | 3 | 0.41 |
Yu, Kai | 2 | 4799 | 255.21 |
Bin Sheng | 3 | 368 | 61.19 |
Feiyue Huang | 4 | 226 | 41.86 |
Feng Gao | 5 | 3 | 0.41 |
Lizhuang Ma | 6 | 498 | 100.70 |