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Gaussian Light Field: Estimation of Viewpoint-Dependent Blur for Optical See-Through Head-Mounted Displays Yuta Itoh, Toshiyuki Amano, Daisuke Iwai, and Gudrun Klinker IEEE ISMAR 2016, Tue. 20th Sep. 2016 Gaussian Light Field: Estimation of


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Yuta Itoh, Toshiyuki Amano, Daisuke Iwai, and Gudrun Klinker

Gaussian Light Field: Estimation of Viewpoint-Dependent Blur for Optical See-Through Head-Mounted Displays

IEEE ISMAR 2016, Tue. 20th Sep. 2016

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IEEE ISMAR 2016, Tue. 20th Sep. 2016 Yuta Itoh, Toshiyuki Amano, Daisuke Iwai, and Gudrun Klinker

Gaussian Light Field: Estimation of Viewpoint-Dependent Blur for Optical See-Through Head-Mounted Displays

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Blur artifacts in HMDs

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Head-Mounted Displays (HMDs)

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Non Optical See-Through Optical See-Through (OST-HMD)

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We want make AR with HMD real

Magic Leap, 2016

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Realism in AR (with OST HMDs) Visual

[Kiyokawa ’01] [Liu ’08] [Lee ’09]

Spatial

[Azuma ’95] [Tuceryan ’00] [Genc ’02] [Grubert ‘08]

Temporal

[Zheng ’14] [Lincoln ’16]

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SLIDE 7

Realism in AR (with OST HMDs) Visual

[Kiyokawa ’01] [Liu ’08] [Lee ’09]

Spatial

[Azuma ’95] [Tuceryan ’00] [Genc ’02] [Grubert ‘08]

Temporal

[Zheng ’14] [Lincoln ’16]

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Image blur in (OST-)HMDs

Ideal Output

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Image blur in (OST-)HMDs

Actual observation

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Image blur in (OST-)HMDs

Ideal Output

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Image blur in (OST-)HMDs

Actual observation

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Image blur  Impulse Responses

Impulse responses

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Image blur  Impulse Responses

Impulse responses

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Why do we care about ?

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Related Work: SharpView

SharpView: Improved Clarity of Defocused Content on Optical See- Through Head-Mounted Displays, Oshima et al. 2015

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Related Work: Pinlight Displays

“Pinlight Displays: Wide Field of View Augmented Reality Eyeglasses using Defocused Point Light Sources” Maimone et al., TOG’14

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Related Work: Pinlight Displays

“Pinlight Displays: Wide Field of View Augmented Reality Eyeglasses using Defocused Point Light Sources” Maimone et al., TOG’14

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Related Work: Light field displays

The Light Field Stereoscope, Huan et al., SIGGRPAH 2015

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Optics Designs of OST-HMDs

(Free-form) prism Point source Waveguide Laser source Half-mirror Eye

Prism-based Waveguide-based Half-mirror

Based on: Hainich and Bimber, Displays Fundamentals and Applications, 2011

Retinal Scanning

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 View-dependent

Image blur in HMDs

 Non-linear (and RGB-wise)

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Image Undistortion for OST-HMDs

Image Undistortion for OST-HMDs

Itoh et al. IEEE TVCG ‘15 (VR ’15) & IEEE ISMAR ‘15

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How to model?

4D Light Field model + Point Spread Function (PSF)

Itoh et al. IEEE TVCG ‘15 (VR ’15) & IEEE ISMAR ‘15

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  • rigin
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  • rigin
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  • rigin
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  • rigin
  • PSF
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  • rigin
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  • rigin
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  • rigin
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  • rigin
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1/

  • u

Gaussian

  • rigin
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NVIS ST60 Lumus DK32

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A cubic prism Holographic gratings NVIS ST60 Lumus DK32

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NVIS ST60 Lumus DK32

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Data collection

Raw image Filtered (Raw PSF) Training PSF Input

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Data collection

Ideal view Observed PSF (filtered) Estimated PSF Baseline PSF

Raw Image Raw PSF Training PSF Baseline (Avg. PSF)

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Learning

Training data  Regression 

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ST60 Better Better Better

Testing

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We failed to get enough #

  • f data for the red channel

DK32 Better Better

Testing

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e.g., Jones et al., IEEE 3DUI 2016

Future work

 Best PSF model?  Eye orientation+model  Real-time processing

? … … …

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 Spatio-Visual Realism in AR

Image blur in HMDs

 View-dep. blur model

 4D light field

+ Point Spread Functions

 Evaluation on two HMDs

 Cubic prism & Waveguides

Summary

Contact: itoh@in.tum.de

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Appendix

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Related Work: Multi-focus HMDs

Liu et al. 2008 Konrad et al. 2016

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O M M’ C

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Observed view ฀ Simulated view with Observed PSF ฀ Simulated view with Estimated PSF ฀ Simulated view with Baseline PSF

Testing

No difference??? Raw PSF Estimated PSF Baseline (Avg. PSF)

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Local v.s. Global sampling

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  • Global: 80,000 points

+ Local: <150 points/grid