Transcript of Multicamera Array Matt Casella, Elizabeth Dinella, Killian Coddington, Nate Bellavia.
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- Multicamera Array Matt Casella, Elizabeth Dinella, Killian
Coddington, Nate Bellavia
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- Motivated by work done by Stanford PhD students RIT Prototype
developed during 2012- 2013 academic year by students in the
Freshman Imaging Project class Origins of project
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- Synthetic Aperture Imaging Reference: Marc Levoy
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- Basic Concept CamerasOccluder Object
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- What is a Multi-Camera Array?
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- Prototype Architecture Camera Image capture Mac Laptop Image
compression and resizing Computer Processing, control, storage
Arduino Trigger cameras x6 Switch Data routing User Interface
Select operating mode, initiate operation, render imagery
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- ImagineRIT Prototype
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- Increase frame rate of prototype by improving image processing
Develop and validate a predictive model to facilitate analysis of
alternate configurations Conduct cost/performance trade-off study
Summer Objectives
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- Matlab processing limitations o Handling of image display
Non-optimal data flow o Picture transfer from camera to software
Bottlenecks
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- Calibration Synthetic aperture through image shifting GUI
Components of the software
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- Matlab to C++ translation complete Result: 400% faster
processing o 16 frames per second Limitations: capture rate of
cameras Progress to date
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- remove remaining bottlenecks o File stream Software
optimization Next Steps
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- Increase frame rate of prototype by improving image processing
Develop and validate a predictive model to facilitate analysis of
alternate configurations Conduct cost/performance trade-off study
Summer Objectives
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- Predictive Model
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- Static Validation
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- Dynamic Validation
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- Alternate Configurations o Different cameras o Number of
cameras o Placement of cameras Model Applications
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- Point Grey cameras used in prototype cost ~$650 each Other
potential cameras available for a cost of ~$25 each Planning to
model and test system using Raspberry Pi cameras to determine
impact on image quality and frame rate Work currently in progress
Cost/Performance Tradeoffs
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- Demonstrated significantly improved performance by translating
processing routines Validated predictive model to allow rapid
assessment of alternate architectures Anticipate completing
cost/performance trade offs by end of summer Summary
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- Acknowledgements Dan Smialek RIT Carlson Center Facilities
Manager Joe Pow RIT CIS Associate Director Dr. Roger Easton RIT
Professor Bob Callens Intern Program Coordinator Philip Salvaggio
RIT Imaging Science PhD Student Dr. Mara Helguera RIT Associate
Professor Jason Faulring RIT Systems Integration Engineer Dr. Carl
Salvaggio RIT Professor Stefi Baum Director of CFC Center for
Imaging Science Billy Frey Imaging Science undergraduate student
Lindsey Schwartz Imaging Science undergraduate student