Bokeh, a sought-after photo rendering style of out-of-focus blur, typically aims at an aesthetic quality which is not available to lowend consumer grade cameras due to the lens design. We present a bokeh simulation method using stereo-vision techniques. We refine a depth map obtained with stereo matching with a little user interaction. A depthaware bokeh effect is then applied with user-adjustable apertures sizes or shapes. Our method mainly aims at the visual quality of the bokeh effect rather than time efficiency. Experiments show that our results are natural-looking, and can be similar to the bokeh effect of a real-world bokeh-capable camera system.
CITATION STYLE
Liu, D., Nicolescu, R., & Klette, R. (2015). Bokeh effects based on stereo vision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9256, pp. 198–210). Springer Verlag. https://doi.org/10.1007/978-3-319-23192-1_17
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