OPTIMIZED SAMPLING FOR VIEW INTERPOLATION IN LIGHT FIELDS WITH OVERLAPPING PATCHES
- D. C. Schedl1 and O. Bimber1
1Institute of Computer Graphics, david.schedl@jku.at and oliver.bimber@jku.at
INTERPOLATION IN LIGHT FIELDS WITH OVERLAPPING PATCHES D. C. Schedl - - PowerPoint PPT Presentation
OPTIMIZED SAMPLING FOR VIEW INTERPOLATION IN LIGHT FIELDS WITH OVERLAPPING PATCHES D. C. Schedl 1 and O. Bimber 1 1 Institute of Computer Graphics, david.schedl@jku.at and oliver.bimber@jku.at MOTIVATION uniform sparse [ours] coded sparse
1Institute of Computer Graphics, david.schedl@jku.at and oliver.bimber@jku.at
uniform sparse (64 samples) dense (225 samples) [ours] coded sparse (225 from 64 samples)
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Coded sampling with local dictionaries [Schedl et al., ICCP 2015] [Schedl et al., CVIU 2017]
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Coded sampling with local dictionaries Compressed Sensing [Marwah et al., TOG 2013] [Cao et al., Opt. Express 2014]
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Coded sampling with local dictionaries Compressed Sensing Depth-based view interpolation Learning-based methods [Kalantari et al., TOG 2016]
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Coded sampling with local dictionaries Compressed Sensing Depth-based view interpolation Learning-based methods Other [Vagharshakyan et al., PAMI 2015] [Shi et al., TOG 2014]
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New sampling quality metric A reduced search space for sampling mask estimation An enhanced upsampling technique supporting maximal patch overlaps
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Constraints:
regular symmetric
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0.188 0.184 0.191 E:
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0.188 0.184 0.191
E:
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Schedl ’17 Ours Schedl ’15 low (good) high (bad) 64 72 69 48
unsupported unsupported unsupported
Table
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Scenes (N) Marwah '13 Shi '14 Schedl '15 Kalantari '16 Schedl '17 Ours Amethyst (64) 37.77dB
41.86dB 42.08dB Lego (64) 28.79dB
35.63dB 37.26dB Lego (48)
35.75dB Cave (64) 26.51dB
38.57dB 41.08dB Alley (64) 36.58dB
43.83dB 44.35dB Amethyst (72)
42.55dB Tarot (72)
39.20dB Amethyst (69)
42.43dB Tarot (69)
39.04dB Tarot (48)
37.54dB Cave (69)
41.41dB Alley (69)
45.20dB
Schedl ’17 (64) Ours (64) Reference (225)
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Lego:
Kalantari’ 16 (64) Ours (64) Reference (225)
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Cave:
Schedl’ 15 (69) Ours (69) Reference (225)
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Tarot:
Shi '14 (72) Ours (72) Reference (225)
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Amethyst:
Marwah’13 (64) Ours (64) Reference (225)
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Alley:
Time: 40h – 5 days on NVIDIA Tesla V100 GPU
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Time: 40h – 5 days on NVIDIA Tesla V100 GPU Other light-field camera designs
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Time: 40h – 5 days on NVIDIA Tesla V100 GPU Other light-field camera designs Other fields (e.g. image-based relighting)
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JOHANNES KEPLER UNIVERSITY LINZ Altenberger Str. 69 4040 Linz, Austria www.jku.at
More information: www.jku.at/cg Contact: david.schedl@jku.at and oliver.bimber@jku.at This project was funded by FWF (P 28581-N33) Schedl ’17 (64) Ours (64) Reference (225) Kalantari’ 16 (64) Ours (64) Reference (225)