active light time-of-flight imagingmanao.inria.fr/.../uploads/2015/09/active_3d_tof.pdf · 2015. 9....
TRANSCRIPT
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Ivo Ihrke / Autumn 2015
Active Light – Time-of-Flight Imaging
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Ivo Ihrke / Autumn 2015
Time-of-Flight – Pulse-based
time-of-flight scanners [Gvili03]
NOT triangulation based
short infrared laser pulse is sent from camera
reflection is recorded in a very short time frame (ps)
results in depth profile (intensity image)
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Ivo Ihrke / Autumn 2015
Time-of-Flight – Pulse-based
time-of-flight scanner – examples
accuracy 1-2 cm in a range of 4 – 7 m
applications:
"depth keying" replaces chroma keying
3D interaction
large scale 3D scanning (LIDAR – light detection and ranging)
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Ivo Ihrke / Autumn 2015
Canesta/3DV – Kinect 2 (?)
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Ivo Ihrke / Autumn 2015
PMDs – Photonic Mixer Devices
[Luan’01]
Chip layout Schematic view
Electric symbol
Fast on-chip modulation
Also called “multi-bucket sensors”
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Ivo Ihrke / Autumn 2015
PMDs – Photonic Mixer Devices
Working principle: Measure phase difference of emitted, modulated signal and received one
Current hardware: ~20MHz modulation frequency – in practice square wave
[Metrilus]
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Ivo Ihrke / Autumn 2015
dt
P
PMD Sensor
Photonic Mixer Device (PMD) sensor:
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Ivo Ihrke / Autumn 2015
dt
P
PMD Sensor
Single-path Time-of-Flight depth imaging:
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Ivo Ihrke / Autumn 2015
dt
P
PMD Sensor
Single-path Time-of-Flight depth imaging:
distance-dependent correlation
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Ivo Ihrke / Autumn 2015
NASAUniversity of Washington
LID
AR
Tim
e-o
f-F
light C
am
era
s
See [Kolb et al. 10], EG STAR for more details
PanasonicPMD
Fotonic ARTTS MESA
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Ivo Ihrke / Autumn 2015
Active Light –Transient Imaging
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Ivo Ihrke / Autumn 2015
What is Transient Imaging ?
a.k.a. Light-in-Flight Imaging
• Ultrafast imaging of non-
stationary light distribution
in scenes
• Tracking of wavefronts of
light as they propagate in
the scene
• Equivalent to imaging
ultrashort pulses of light
t = 0t = 1t = 2t = 3t = 4t = 5t = 6t = 7t = 8
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Ivo Ihrke / Autumn 2015
Pandharkar et al´2011
Many applications by analyzing a transient image!
Velten et al´2013
Understanding
light transport:
Naik et al´2011
Surface
reflectance
capture:
Wu et al´2012
Reconstructing hidden
object geometry (and
motion):
Velten et al´2012
Decomposing light
transport:
Applications of Transient Imaging
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Ivo Ihrke / Autumn 2015
Visualizing Light in Motion
Repetitive Event, 1012 FPS, 672 x 1000 pixel resolution, 1 ns+ capture time
Light moves 0.6 mm per frame
Ability to see light transport
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
Streak Cameras
©
Hamamatsu Picosecond time resolution
1D: 1x672 pixels
Result as 2D image (“Streak Photo”)
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
Object
Experimental Setup
Ti:Sapphire Laser
Camera
Synchronization
[Velten et al. 13]
Scanning Unit
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Ivo Ihrke / Autumn 2015
Actual Setup
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
Streak Camera Picture
Space
Tim
e
[Ve
lten
et a
l. 13
]
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Ivo Ihrke / Autumn 2015
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
Example Result [Velten et al. 13]
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Ivo Ihrke / Autumn 2015
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
Scattering in Real Scenes
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
[Velten et al. 13]
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Ivo Ihrke / Autumn 2015
With PMD Devices – linked to the “multi-path” or “mixed pixel” problem
PanasonicPMD
Fotonic ARTTS MESA
Transient Imaging
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Ivo Ihrke / Autumn 2015
dt
PMD Sensor
P2
P1
Multi-path contributions:
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Ivo Ihrke / Autumn 2015
dt
PMD Sensor
P2
P1
Recovering multi-path contributions:
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Ivo Ihrke / Autumn 2015
dt
PMD Sensor
P2
P1
Recovering multi-path contributions:
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Ivo Ihrke / Autumn 2015
dt
PMD Sensor
P2
P1
…
Recovering multi-path contributions:
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Ivo Ihrke / Autumn 2015
• Relation of Transient Image to PMD measurement:
• Linear system is ill-posed:
• assume model for temporal response (signal sparsity)
Mixture Model: Gaussian + Exponential
• and spatial smoothness
• solve non-linear system
Image formation model:
multiple measurements
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Spatial coherence Temporal model
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Ivo Ihrke / Autumn 2015
PMDTechnologies CamBoard nano
FPGA
LED unit
PMD sensor
PLL
25MHz
ADC
Control
2”
Too slow
Fixed frequency
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Ivo Ihrke / Autumn 2015
Novatech
DDS9m
FPGA
Modifications to the hardware
PMD sensor ADC
Control
Control
Laser unit
iC-HG +
LPC826
TRIG
Prototype: Max mod. frequency 180 MHz, stable up to 110 MHz
2-ch.
function
generator
0-180 MHz
MOD
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Ivo Ihrke / Autumn 2015
Prototype setup
Used for results in paper
Laser
unit
Function
generator
Power
Camera
MOD in
TRIG
out
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Ivo Ihrke / Autumn 2015
Color coding of strongest component:
Result ‘Discoball’:
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Ivo Ihrke / Autumn 2015
Different time-steps:
Results ‘Discoball’:
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Ivo Ihrke / Autumn 2015
Different time-steps:
Results ‘Discoball’:
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Ivo Ihrke / Autumn 2015
Different time-steps:
Results ‘Discoball’:
[slid
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Ivo Ihrke / Autumn 2015
Different time-steps:
Results ‘Discoball’:
[slid
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Ivo Ihrke / Autumn 2015
Different time-steps:
Results ‘Discoball’:
[slid
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Ivo Ihrke / Autumn 2015
Color coding of strongest component:
Result ‘Bottles’:
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Ivo Ihrke / Autumn 2015
Camera unit
FPGA
Emerging Technologies prototype
PMD sensor ADC
Control
Control
Light
source
TRIGMOD
AD9958
DDS (function
generator)
0-180 MHz
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Ivo Ihrke / Autumn 2015
Light
source
Camera
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Ivo Ihrke / Autumn 2015
Results: People
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Ivo Ihrke / Autumn 2015
Curless, Levoy, “Better optical triangulation through spacetime
analysis“, CVPR 1995
Levoy et al., “The digital Michelangelo project: 3D scanning of
large statues”, SIGGRAPH 2000
[Gvili03] R. Gvili, A. Kaplan, E. Ofek, G. Yahav, "Depth Keying", SPIE ISOE 5006, 2003, pp. 564-574
Luan, “Experimental Investigation of Photonic Mixer Device and Development of TOF 3D Ranging Systems Based on PMD Technology”, PhD Thesis, Siegen University, 2001
Velten et al. “Femto-photography: capturing and visualizing the
propagation of light”, SIGGRAPH 2013
Heide et al. “Low-budget Transient Imaging using Photonic Mixer Devices.”, SIGGRAPH 2013
References