Abstract
Bokeh effect is an artistic effect in photography, which is the out-of-focus blur caused by the camera lens, typically, professional cameras with wide aperture lenses are necessary to obtain the Bokeh effect. In this paper, we propose a computational method to simulate the Bokeh effect with the RGBD data captured by Kinect. The proposed method first refines the depth map by modeling it as an optimization problem with the guidance of the corresponding RGB image; the size of the filter kernel is calculated from the refined depth map afterwards, finally, the RGB image with Bokeh effect is computed by filtering with the varying-sized and varying-shaped kernels. We have conducted experiment on 4 sets of data, and the experiment result suggests that the proposed method is optimistic in computing natural Bokeh effect.
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Acknowledgment
This work was supported by National Natural Science Foundation of China (Grant No. 61402205), China Postdoctoral Science Foundation (Grant No. 2015-M571688), University Science Research Project of Jiangsu Province (Grant No. 16KJB520008), Natural Science Foundation of Jiangsu Province (Grant No. BK20170558), Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant No. SJCX17_0575).
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Yang, Y., Bian, H., Peng, Y., Shen, X., Song, H. (2018). Simulating Bokeh Effect with Kinect. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11164. Springer, Cham. https://doi.org/10.1007/978-3-030-00776-8_67
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DOI: https://doi.org/10.1007/978-3-030-00776-8_67
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