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Study of depth of field based on GPU post-processing
- Source :
- 2012 International Conference on Audio, Language and Image Processing.
- Publication Year :
- 2012
- Publisher :
- IEEE, 2012.
-
Abstract
- Computer generated images by default render the entire scene in perfect focus. And computer graphics cameras lack the finite depth of field present in real world, this result in reducing the realism of the scene. Several depth of field methods have been proposed, in this paper, object space methods depth of field will be introduced, and the ray-racing method will be put as the representative method. After then, this paper will focus on post-processing method based on GPU. The comparison result will be shown as the experiment section.
- Subjects :
- Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image-based modeling and rendering
Graphics pipeline
Rendering (computer graphics)
Real-time computer graphics
Computer graphics
Computer Science::Graphics
Computer graphics (images)
Computer vision
Artificial intelligence
Depth of field
General-purpose computing on graphics processing units
business
3D computer graphics
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2012 International Conference on Audio, Language and Image Processing
- Accession number :
- edsair.doi...........28190e1eb61bb415292075dcf71941ac
- Full Text :
- https://doi.org/10.1109/icalip.2012.6376713