Dr. Christy Fernandez-Cull
Enrollment: Limited: Advance sign-up required
Sign-up by 01/10
Limited to 20 participants
Attendance: Participants must attend all sessions
Prereq: SEE IMPORTANT MESSAGE BELOW
Course will focus on hardware and simulation exercises associated with computational imaging and spectroscopy systems; students build a coded aperture spectrometer. Computational imager and spectrometer design explore non-isomorphic mapping from the object plane to the image plane of an optical architecture. This course will focus on non-traditional sensor design in simulation and delve into some hands-on approaches to hardware design. We will begin the course with a discussion associated with basic principles of ray optics and wave optics and delve into coded aperture imaging and spectrometer design. Participants will build their own spectrometer and assess performance characteristics of coded aperture imagers and light field sensors alike. A brief overview of past and present state-of-the-art computational imagers will be discussed. Supplies and MATLAB starter coded will be provided.
Session Leaders: Dr. Christy Fernandez-Cull, Research Staff, Dr. Evan Cull, Research Staff, Professor Ramesh Raskar,MIT Professor, Dr. Robert Freking, Research Staff, Dr. Christopher Barsi, Postdoctoral Associate
*This work is sponsored by the Department of the Air Force under Air Force Contract #FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the authors and are not necessarily endorsed by the United States Government.
Sponsor(s): Lincoln Laboratory
Contact: Dr. Christy Fernandez-Cull, LIN-S4-247, (781) 981-8284, firstname.lastname@example.org
|Jan/14||Tue||10:00AM-12:00PM||300 Tech. Sq. 2nd FL, See Important Message Below|
|Jan/15||Wed||10:00AM-12:00PM||300 Tech. Sq. 2nd FL, See Important Message Below|
|Jan/16||Thu||10:00AM-12:00PM||300 Tech. Sq. 2nd FL, See Important Message Below|
All sessions will be held at Beaver Works @ 300 Technology Square, 2nd Floor.
Special Meeting Information: All participants must supply their own laptops with MATLAB installed. MATLAB experience required. Please bring your cell phone to class.