1 light field reconstruction using convolutional …...1 light field reconstruction using...
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Light Field Reconstruction Using ConvolutionalNetwork on EPI and Extended Applications
(Supplementary Material)Gaochang Wu, Yebin Liu, Lu Fang, Qionghai Dai, Senior Member, IEEE, and Tianyou Chai, Fellow, IEEE
I. RECONSTRUCTION RESULTS
Bu
dd
ha
Mo
na
Ground truth Wang et al. [39] Jeon et al. [40] Kalantari et al. [8] Ours
Fig. 1. Comparison of light field reconstruction results on the HCI synthetic scenes [45].
Sim
ula
ted
Reference Wang et al. [39] Joen et al. [40] Kalantari et al. [8] Ours
Fig. 2. Comparison of light field reconstruction results on a simulated microscope light field.
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Rock
Seahors
e
Ground truth Wang et al. [39] Jeon et al. [40] Kalantari et al. [8] Ours
Flo
wer
2F
low
er
2IM
G_1411
IMG
_1328
IMG
_1554
IMG
_1411
IMG
_1328
IMG
_1554
Fig. 3. Comparison of light field reconstruction results on Lytro datasets (1). The datasets are from Kalantari et al.’s dataset [8].
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II. DEPTH ENHANCEMENT RESULTS
Depth estimation using the input 3×3 views
Depth estimation using the ground truth 9×9 views
Depth estimation using the our reconstructed 9×9 views
Depth estimation using the reconstructed 9×9 views by Kalantari et al. [8]
Buddha Mona
Center views
Horses
Ground truth depth maps
Fig. 4. Depth estimation results using the approach by Wang et al. [39].