Title :
Study of depth of field based on GPU post-processing
Author :
Wei Xiong ; Xuzhi Wang ; Feng Guo
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
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-tracing 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.
Keywords :
cameras; graphics processing units; natural scenes; ray tracing; rendering (computer graphics); GPU post-processing method; computer generated images; computer graphics cameras; depth of field; object space methods; ray-tracing method; Cameras; Computational modeling; Graphics processing units; Lenses; Ray tracing; Rendering (computer graphics);
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
DOI :
10.1109/ICALIP.2012.6376713