1. Jason Holloway Aswin Sankaranarayanan Ashok Veeraraghavan Salil Tambe April 28, 2012

2. Low-speed images work for static scenes

3. open shut 33 ms

4. Blurring in dynamic areas High spatial resolution in static areas

5.  30 million voxel budget  Increasing fps decreases light throughput 1 Megapixel x 30 fps175 x 175 x 1000 fps

6. Optical coding

7. -LCOS -Per pixel coded exposure P2C2 [Reddy et al. 2011] Per pixel shutter control Flexible Voxels Gupta et al. 2011] CPEV [Hitomi et al. 2010, -Implement on CMOS -Single bump per pixel per frame Per pixel sensor control FSVC – Global shutter control Global shutter control y t x Exposure Single Pixel Camera [Wakin et al. 2006] Spatial-muliplexing y t x y t x

9. Video Removed General motion Linear with known velocity PeriodicityLinear dynamical systems Coded Strobing [Veeraraghavan et al. 2011] CD-LDS [Sankaranarayanan et al. 2010] Flutter Shutter [Raskar et al. 2006] P2C2 [Reddy et al. 2011] Flexible Voxels [Gupta et al. 2010] CPEV [Hitomi et al. 2011] FSVC 80x20x-50x 6x-16x

10.  Locally linear motion model  Union of subspaces (UoS)  General motion  TV minimization

11. High-speed PCA subspace approx. A 18x18x24 patch can be expressed using 324 dimensional subspace y t x 521 velocities, 40 angles and 13 speeds y t

12. High-speed subspace Low-speed subspace Patch based reconstruction

13.  Speed = 1.38 pixels/high-speed frame  Direction = 61° Speed (pixels/frame)

14. Video Removed PSNR: 35.5 dB

16. Video Removed  Hairnets advertisement placard moving right PSNR: 40.6 dB

17. Video Removed  Dancer clapping causes a chalk cloud to form PSNR: 28.7 dB

18.  PointGrey Machine Vision cameras were used to simulate FSVC  Flea3 grayscale camera operating at 8 fps

19. Video Removed Observed framesRecovered video (6x) Video Removed

20. Hardware complexity Reconstruction quality FSVC CPEV P2C2 Global shutter control suffices for high speed video recovery

21.  Questions?