CS-ToF: High-resolution Compressive time-of-flight imaging Fengqiang - - PowerPoint PPT Presentation

cs tof high resolution compressive time of flight imaging
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CS-ToF: High-resolution Compressive time-of-flight imaging Fengqiang - - PowerPoint PPT Presentation

CS-ToF: High-resolution Compressive time-of-flight imaging Fengqiang Li, Chia-kai Yeh, Kuan He, Oliver Cossairt (Northwestern University) Huaijin Chen, Adithya Pediredla, Ashok Veeraraghavan (Rice University) fengqiang.li@u.northwestern.edu 1


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CS-ToF: High-resolution Compressive time-of-flight imaging

Fengqiang Li, Chia-kai Yeh, Kuan He, Oliver Cossairt (Northwestern University) Huaijin Chen, Adithya Pediredla, Ashok Veeraraghavan (Rice University) fengqiang.li@u.northwestern.edu

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Time of flight

Image credit: Donald Griffin

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Time-of-flight (ToF) imaging

Goyer et al., Bulletin of the American Meteorological Society, 1963

Pulsed laser Detector Object Clock

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Time-of-flight (ToF) imaging

Goyer et al., Bulletin of the American Meteorological Society, 1963

Pulsed laser Detector Object d Clock

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Time-of-flight (ToF) imaging

Goyer et al., Bulletin of the American Meteorological Society, 1963

Pulsed laser Detector Object d

d = 1 2 ⋅ c ⋅ t

Clock

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Time-of-flight (ToF) imaging

Goyer et al., Bulletin of the American Meteorological Society, 1963

Pulsed laser Detector Object d

d = 1 2 ⋅ c ⋅ t

Clock

Pulsed light based ToF

q Raster scanning

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Continuous-wave ToF

Laser diode ToF camera Controller

!(#) %(#)

Schwarte et al., SPIE Proceeding, 1997

# = 0 !(#) r(#)

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Continuous-wave ToF

Laser diode ToF camera Controller

!(#) %(#)

p Schwarte et al., SPIE Proceeding, 1997

# = 0 !(#) s(#) r(#) () * ( # )

()

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Robotics Autonomous cars HCI VR/AR

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Robotics Autonomous cars HCI VR/AR Non-Line-of-Sight imaging Transient imaging

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Low spatial resolution

  • 640✕480 pixels (0.3 mega) vs 120-megapixel CMOS
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Low spatial resolution

  • 640✕480 pixels (0.3 mega) vs 120-megapixel CMOS
  • Extra circuits for each pixel
  • Limited wafer size
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Work directly on ToF camera output:

  • Edge guidance
  • Defocus debluring

Fuse ToF output with a second camera:

  • RGB camera
  • Stereo, Photometric stereo, Shape from polarization

Previous work

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Optical multiplexing

Objects Spatial light modulator-SLM (High resolution) ToF camera (low resolution)

q Multiple Pixels (e.g. 3✕3) on spatial light modulator projected on One Pixel of ToF camera

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Motivation for optical multiplexing

q Higher resolution compared to algorithm based method q No need to fusion with different image modalities q Resolution is dependent on SLM

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Pattern on modulator (M) ToF output (y)

Compressive sensing … …

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Phasor

Intensity (a) depth (d) q ToF output: intensity (a) and depth (d) q Phasor: a ∘ e$%&'

( ) = a ∘ e$+

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Imaging forward model

x = !" ∘ e%&' q High resolution scene projection on modulator (x)

(

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Imaging forward model

x = !" ∘ e%&' q High resolution scene projection on modulator (x) q Spatial light modulator pattern (M)

M

()

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Imaging forward model

x = !" ∘ e%&' q High resolution scene projection on modulator (x) q Spatial light modulator pattern (M) q Translation matrix from modulator to ToF camera (C)

M C

()*

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Imaging forward model

x = !" ∘ e%&' q High resolution scene projection on modulator (x) q Spatial light modulator pattern (M) q Translation matrix from modulator to ToF camera (C) q ToF camera output (y)

M

( = *+,

C

y = !- ∘ e%&.

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Imaging forward model

!" !# !$ . . !& = (" (# ($ . . (& )

* = +,) = ()

q ToF Output y. with modulation pattern M. 01234567 01834569 01:3456; . . 01<3456= = ("0>2345?7 (#0>8345@9 ($0>:345@; . . (&0><345@A = (" (# ($ . . (& 0>345@

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Optimization

! x = arg min

*

+ − -. / + 1Φ(x) Φ . = TV . = 7

8

G: x8

/ + G; x8 /

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Simulation

q High resolution scene

  • Middlebury 3D Datasets
  • Size: 1140x912

q At – simulated system A = CMt

  • Mt – Hadamard multiplexing patterns on DMD at t-th measurement
  • C – mapping matrix, defined as spatial down-sampling by averaging

q Low resolution measurements

  • Simulated through via yt = Atx
  • Size: 120×153
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(b). Original LR ToF measurement Intensity (a). Ground truth Intensity (c). HR reconstruction (50%) Intensity (d). HR reconstruction (25%) Intensity (e). HR reconstruction (15%) Intensity

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(b). Original LR ToF measurement Intensity (a). Ground truth Intensity (c). HR reconstruction (50%) Intensity (d). HR reconstruction (25%) Intensity (e). HR reconstruction (15%) Intensity (g). Original LR ToF measurement Phase (f). Ground truth Phase (h). HR reconstruction (50%) Phase (i). HR reconstruction (25%) Phase (j). HR reconstruction (15%) Phase

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Original LR ToF measurement Ground truth HR reconstruction (15%)

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Original LR ToF measurement Ground truth HR reconstruction (15%)

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Prototype

q Texas Instrument DLP 4500: 1140×912 pixels q ToF camera: Texas Instrument OPT 8241 320×240 (186×200 pixels)

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Original LR ToF Measurement Pixel scanning

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3D scene

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Original LR ToF measurement

HR Reconstruction (no compression)

HR Reconstruction (0.6) HR Reconstruction (0.25)

Depth in m Depth in m Depth in m Depth in m

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Native No compression CS: 0.6 CS: 0.25

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Original LR ToF measurement HR reconstruction (no compression) HR reconstruction (60%) HR reconstruction (25%)

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Native No compression CS: 0.6 CS: 0.25

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Depth in mm

Ground truth depth Depth values with 25dB SNR

Depth resolution

q No depth resolution improvement q Depth resolution is better than bicubic interpolation

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Project Page

http://compphotolab.northwestern.edu/project/cs-tof-high-resolution-compressive-time-of-flight-imaging/