1. Multicamera Array Matt Casella, Elizabeth Dinella, Killian Coddington, Nate Bellavia

2. 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

3. Synthetic Aperture Imaging Reference: Marc Levoy

4. Basic Concept CamerasOccluder Object

5. What is a Multi-Camera Array?

6. 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

7. ImagineRIT Prototype

8. 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

9. Matlab processing limitations o Handling of image display Non-optimal data flow o Picture transfer from camera to software Bottlenecks

10. Calibration Synthetic aperture through image shifting GUI Components of the software

11. Matlab to C++ translation complete Result: 400% faster processing o 16 frames per second Limitations: capture rate of cameras Progress to date

13. remove remaining bottlenecks o File stream Software optimization Next Steps

14. 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

15. Predictive Model

16. Static Validation

17. Dynamic Validation

18. Alternate Configurations o Different cameras o Number of cameras o Placement of cameras Model Applications

19. 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

20. 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

21. 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. María 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