User`s manual

issues as early as possible, with a consistent time commitment every week.
Second, we spent a lot of time doing software simulations/verifications before
diving in and writing Verilog. The rationale behind this is that correction and
testing in software is much faster than synthesis on the FPGA. Third, we had
regular meetings among ourselves to ensure that issues some member of our
team had would be addressed collectively.
Overall, we are satisfied with the quality of this system, especially consider-
ing the time limitations/scope of this project. We are confident that with some
additional work, this system could truly rival commercial offerings in this space.
References
Baoxin Li and I. Sezan. Automatic keystone correction for smart projectors with
embedded camera. In Image Processing, 2004. ICIP ’04. 2004 International
Conference on, volume 4, pages 2829–2832 Vol. 4, Oct 2004. doi: 10.1109/
ICIP.2004.1421693.
Ramesh Raskar and Paul Beardsley. A self-correcting projector. In Computer
Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001
IEEE Computer Society Conference on, volume 2, pages II–504. IEEE, 2001.
Rahul Sukthankar, Robert G Stockton, and Matthew D Mullin. Smarter presen-
tations: Exploiting homography in camera-projector systems. In Computer
Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Confer-
ence on, volume 1, pages 247–253. IEEE, 2001.
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