electronic visualization laboratory, university of illinois at chicago camera based automatic...
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![Page 1: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/1.jpg)
electronic visualization laboratory, university of illinois at chicago
Camera Based Automatic Calibration for the Varrier™ System
Jinghua Ge, Dan Sandin, Tom Peterka, Todd Margolis, Tom DeFanti
Electronic Visualization Laboratory, University of Illinois at Chicago
![Page 2: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/2.jpg)
electronic visualization laboratory, university of illinois at chicago
Introduction of Varrier
Varrier is a head-tracked, 35 panel tiled autostereoscopic VR display
Combination of physical and virtual linescreens to achieve autostereo
Virtual linescreen registration parameters:
Pitch, z rotation, optical thickness, x shift
![Page 3: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/3.jpg)
electronic visualization laboratory, university of illinois at chicago
Camera automated calibration
Two video cameras simulate human eyes
Goal:
left eye sees left image,
right eye sees right image
Calibration Patterns:
Color pattern: left eye red, right eye blue
Cross bar pattern: white cross bars, left eye 45º , right eye -45º
![Page 4: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/4.jpg)
electronic visualization laboratory, university of illinois at chicago
Calibration Algorithms
• Heuristic rough tune– Color pattern enhances
moire bars– Register rotaton until moire
bar parallel to linescreen– Register optical thickness
until no bar in at least one eye image
– Register shift until left eye see red, right eye see blue
![Page 5: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/5.jpg)
electronic visualization laboratory, university of illinois at chicago
Calibration Algorithms (cond’)
• Adaptive fine tune– Cross bar pattern enhances brightness/ghost– 2D searching for maximum brightness-ghost– Multiple fine tune get better precision
![Page 6: Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,](https://reader035.vdocuments.mx/reader035/viewer/2022070307/551b8040550346942b8b4799/html5/thumbnails/6.jpg)
electronic visualization laboratory, university of illinois at chicago
Performance and Conclusion
• Heuristic rough tune achieve close result very fast– Usually in less than 70 steps
• Multiple adaptive fine tune get best parameter set in high precision– Usually less than 100 steps
• Registration runs at 3fps. One minute for each screen.
• One on-axis registration works for free on-axis movement