Coded Exposure HDR Light-Field Video Recording
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1 Coded Exposure HDR Light-Field Video Recording David C. Schedl, Clemens Birklbauer, and Oliver Bimber* Johannes Kepler University Linz
2 Exposure Sequence long exposed short
3 HDR Image long exposed short
4 Motion long exposed short
5 HDR Image static motion
6 Exposure sequence each perspective HDR Light Field Reduce motion blur camera array
7 Bayer pattern Multiplexing Colors multiplexing colors Pixel quad-tuple green 2x Interpolation color (demosaicing) Bayer pattern
8 Multiplexing Exposure Times Our approach multiplex exposures (4) Camera quad-tuple interleave exposures (2x) Interpolate perspectives camera array
9 Multiplexing Exposure Times quad-tuple
10 Multiplexing Exposure Times Reduced capturing time strong motion blur motion blur motion blur quad-tuple
11 Multiplexing Exposure Times Reduced capturing time deblurring deblurring deblurring quad-tuple
12 Related Work: LF Cameras [Wilburn et al. 2005] mosaicing for single images [Georgiev et al. 2009, Georgiev et al. 2010] aperture varies / ND filter
13 Related Work: Deblurring [Tai et al. 2008] 2nd high fps camera [Xu and Jia, 2012] deblur stereo-pair
14 Our Approach registration PSFs capture depth segmentation depths
15 Our Approach registration PSFs capture depth segmentation depths
16 Our Approach (cont) deblur interp. segmentation deblurred full HDR light field
17 Outline registration PSFs capture depth segmentation depths
18 Capturing regular exposure sequence coded exposure 8 12 (interleaved) 1 subframe 1+2 subframes 2+1 subframes 8 subframes quad-tuple
19 Capturing 1 Frame 1 subframe 1+2 subframes 2+1 subframes 8 subframes
20 Outline registration PSFs capture depth segmentation depths
21 SURF 3D features matches subf. Registration rotation & translation Registration 1 st subframe T R 2 nd subframe
22 Registration (cont.) For every exposure (except longest) use previous as initial guess 1 x 3 x 7 x
23 up sample (to 7x) Registration (cont.)
24 PSF Calculation 3D features: best registration per projection Cluster: PSF depths
25 Outline registration PSFs capture depth segmentation depths
26 Composite Depth Map Compute depth for each exposure time
27 Composite Depth Map Compute depth for each exposure time Composite depth map: based on confidence combine composite depth
28 Our Approach registration PSFs capture depth segmentation depths
29 Scene Segmentation PSF depth clusters Dense PSF map: inter- & extrapolate Raw clusters: cluster PSF map composite depth map PSF map raw clusters (k=2)
30 Scene Segmentation PSF depth clusters Dense PSF map: inter- & extrapolate Raw clusters: cluster PSF map composite depth map PSF map raw clusters (k=2)
31 Scene Segmentation (cont.) Refine raw clusters [Levin, 2006] matting [Levin, 2006] raw Trimap clusters (k=2) clusters (2) cluster 1 cluster 2
32 Our Approach deblur interp. segmentation deblurred full HDR light field
33 Deblur Clusters Deblur PSF: least upsampled Non-blind deconvolution deblur cluster 1 non-blind blind (+initial guess)
34 Deblur Clusters Deblur PSF: least upsampled Non-blind deconvolution deblur cluster 1 non-blind blind (+initial guess)
35 Deblur Clusters Deblur PSF: least upsampled Semi-Blind Deconvolution deblur deblur [Levin, 2011] cluster 1 non-blind blind (+initial guess)
36 Merge Clusters Blend deblurred clusters merge
37 Merge Clusters Blend deblurred clusters merge rendered
38 PSF Shifting Exp. sequence 1 frame: 15 Coded Exp. 2 frames: x fps
39 Our Approach deblur interp. segmentation deblurred full HDR light field
40 Deblurred Composite Depth Map Recompute depth from deblurred perspectives
41 Deblurred Composite Depth Map Recompute depth from deblurred perspectives combine deblurred composite depth
42 Interpolation Interpolate missing perspectives Exposure sequence at each perspective interpolation
43
44
45 Example 2: Camera Rotation HDR: exposure sequence HDR: coded exposure
46 Thanks! Our Poster Level 3 Ballroom Foyer Tue & Wed: 12:15 to 1:15pm
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