Femtosecond Photography

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    Femtophotography(Trillion frames per second):

    Capturing echoes of light around a

    corner

    Ashar A Z

    CPMU Seminar

    1

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    2

    Theme

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    Plan of talk

    Fast photography

    Streak camera: Principle and operation

    Imaging around a corner : Steps involved

    Experimental setup

    Geometric reconstruction using streak camera

    5D Light propagation, model and surface reconstruction

    3D Reconstruction process

    Applications

    3

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    Fast photography

    nanosecond exposuremagneto optic shutter

    Raptronic camera used for collecting nuclear explosion after 2 msDr. Harold Edgerton, Germeshausen and Grier

    BVd Eadweard Muybridge,Source: wikipedia

    4Source: http://webmuseum.mit.edu

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    Femtosecond laser Kerr lens mode locked Ti: Sapphire laser=795 nmRepetitions rate = 75 MHz, ie pulse repeats in every 13.3 ns

    Streak cameraExposure time =100 ms , ie 7.5 million reading

    Computation for reconstruction of image

    Components of femtophotographyLooking around a corner to see a hidden object

    fs50

    5

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    Pico10-12 sec

    Velocity of light = 3 10 8 m/sDistance travelled by light in 2 ps ~ 610 -4 meter ~ 0.6 mm

    Femtophotography

    6Source: http://web.media.mit.edu/~raskar/cornar/

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    Streak camera: Working principle

    Source: Photonic Device Dynamics Group website,Tyndall National institute.7

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    (a)

    (b)

    =888 nm

    Time =0.5 ns

    A streak camera will stretch information

    in time.

    Ultrafast, femtosecond time resolution

    3D

    8

    Time resolved photoluminescence

    Pulsedlaser

    Spectrograph

    Streak camera

    Sample

    Source: Photonic Device Dynamics Group website,Tyndall National institute.

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    9

    Streak camera: Image formation

    s

    Point source of light

    Spherical wavefront contribute tohyperbola in space time streakimage.

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    10

    Why streak camera ?

    100 cm

    1 cm

    P1

    P2

    Velocity of light , c 3x10 10 cm/s

    3x10 10 cm 1 second

    0.05 cm 1.6 x 10 -12 seconds,

    PICO SECONDS

    Traditional cameras are limited by temporal resolution

    Detector

    Materials transport limitations

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    11

    Imaging around a corner

    Phase I : Data acquisition 60 laser position on wall with 100 images for each position images taken at one position are overlayed to reduce the noise.

    Optical imaging + Computational reconstruction

    Phase II : Data processing Streak images are loaded, and corrected for intensity andspatiotemporal jitter.

    Phase III: 3D reconstruction Corrected streak images are used in back projection algorithmto reconstruct the image

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    Phase I:Experimental setup

    Calibrationspot

    12

    Source : Nature video

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    Foci of ellipse

    Back projection of points

    Location on the hidden surfacepatch which contributed to pixelsp,q and r.

    No correspondenceWe dont know whether or notlight detected at two pixels camefrom the same point on hidden

    object 13

    Phase II: Geometric reconstruction usingstreak camera

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    22 cm2

    Occluder

    Diffuserwall

    14

    Scale bar 2 cm

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    Phase III: Modeling light pulse propagation

    5D light transport.

    4 segments for optical path

    1

    23

    4 Segments 1 and 4 directed segments.

    data received bycamera Cat time tat pointp

    ),( tpIC

    )),((),( wCBLtwHItwI CR

    Primary scattering problem.

    data received surfaceat time tat pointp

    ),( twIR

    H(w) is the projective transformation (homography) mapping coordinates

    onR to camera co-ordinates 15

    Time compensation for segment (1) and (4)

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    Measuring distance in time units, setting c=1

    SSc

    c

    R sddsItrr

    twI

    2

    2),()(1),(

    S lclc

    R sdrrtrr

    ItwI 222

    )(11

    ),(

    )/()(),( 2llS rrIsI sLrl

    Generating streak image

    16

    emitter sending pulses at time),( sIS

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    Hyperbolic contribution

    For fixedL and w at time t, t= rc + rl

    In (w,t) space

    222 ),()()( yxzvyuxrrt cl , a prolate spheroid

    Each point of surfaceSwill contribute a hyperboloid to the imageIR(u , v , t).

    Hyperboloid shape depends on depthz(x , y) and will be shifted along t axis

    17

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    Back projection: Principle of ComputedTomography

    Each sample acquired in a CTsystem is equal to the sum of theimage values along a ray pointing tothat sample

    18

    Absorption

    http://www.dnatube.com

    x

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    Backprojection is formed bysmearing eachview back through the image in the

    direction it was originally acquired

    Filtered back projection

    Digital Signal Processing: A Practical Guide for Engineers and Scientist By Steven W. Smith 19

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    20

    Voxel Grid setup

    Down sampling(optional)

    Filtering and threshold

    Back projection

    Using time of flight(ToF) method

    3D Reconstruction

    A voxel v can contribute to streakcamera pixel only if it satisfy ToF criteria.

    Heat mapsum is overall contributing

    pixelsp, andIPis the intensitymeasured at that pixel.

    PP

    ILvwvvH

    )()(

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    21

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    22

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    Applications

    23Source: http://web.media.mit.edu/~raskar/cornar/

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    Thank you

    24