TY - GEN
T1 - Reliable Depth-of-Field Rendering Using Estimated Depth Maps
AU - Choi, Whan
AU - Kim, Kyung Rae
AU - Kim, Chang-Su
N1 - Funding Information:
V. CONCLUSIONS We proposed a novel algorithm for DoF rendering, which uses an estimated depth map through CNN-based stereo matching. First, we decide the size and shape of the CoC blurring window and the peripheral blurring window. The CoC blurring window is determined using the estimated depth values. The peripheral blurring window is obtained by calculating the distance between gazing and sample points. Then, we combine the two windows and modulate the result with a mask to provide more natural DoF effects. Experimental results demonstrated that the proposed algorithm outperforms the Zhou’s algorithm [3], yielding better rendering results. ACKNOWLEDGEMENTS This work was supported in part by the National Research Foundation of Korea (NRF) through the Korea Government (MSIP) under Grant NRF-2015R1A2A1A10055037, and in part by ’The Cross-Ministry Giga KOREA Project’ grant funded by the Korea government(MSIT) (No.GK17P0200, Development of 4D reconstruction and dynamic deformable action model based hyper-realistic service technology)
Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - A reliable algorithm for rendering depth of field (DoF) effects using estimated depth maps, obtained through stereo matching, is proposed in this paper. The proposed algorithm generates blurring to simulate images spontaneously seen by human vision systems. We develop two types of windows : circle of confusion (CoC) blurring window and peripheral blurring window. First, the CoC blurring window is determined by comparing the depth values of a gazing point and each sample point. Second, the peripheral blurring window is obtained by calculating the distance between the gazing and sample points. Then, we combine the two windows to make the total blurring window. Finally, through a masking process, we modulate the total blurring window to provide a more natural DoF. Experimental results demonstrate that the proposed algorithm provides realistic blurring, by preserving edges clearly as well as blurring far points from the gazing point effectively.
AB - A reliable algorithm for rendering depth of field (DoF) effects using estimated depth maps, obtained through stereo matching, is proposed in this paper. The proposed algorithm generates blurring to simulate images spontaneously seen by human vision systems. We develop two types of windows : circle of confusion (CoC) blurring window and peripheral blurring window. First, the CoC blurring window is determined by comparing the depth values of a gazing point and each sample point. Second, the peripheral blurring window is obtained by calculating the distance between the gazing and sample points. Then, we combine the two windows to make the total blurring window. Finally, through a masking process, we modulate the total blurring window to provide a more natural DoF. Experimental results demonstrate that the proposed algorithm provides realistic blurring, by preserving edges clearly as well as blurring far points from the gazing point effectively.
UR - http://www.scopus.com/inward/record.url?scp=85057117223&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2018.8351453
DO - 10.1109/ISCAS.2018.8351453
M3 - Conference contribution
AN - SCOPUS:85057117223
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Y2 - 27 May 2018 through 30 May 2018
ER -