INSTRUCTOR
Prof. Gabriel Taubin
email: taubin@brown.edu
TA
Fatih Calakli
email: Fatih_Calakli@brown.edu
COURSE DESCRIPTION
The course provides an introduction to modern Image Processing algorithms, including Interactive Image Editing algorithms, Feature extraction algorithms, Feature-based image registration, and stitching algorithms, Featured-based recognition systems, Stereo and Multi-View Stereo algorithms, and various applications.
WHO SHOULD TAKE THE COURSE / PREREQUISITES
This course is aimed at senior/junior undergraduate students and graduate students from Engineering, Computer Science, Applied Mathematics, Physics, Cognitive Science and Neuroscience, with some knowledge of Vector Calculus, Linear Algebra,and Data structures, and exposure of computer programming. No prior knowledge of Image Processing or Computer Vision algorithms is assumed.
OFFICE HOURS
To be announced
TEXTBOOK
There is no required book. We will download and read selected chapters from the latest draft of Richard Szeliski's upcoming book "Computer Vision, Algorithms and Applications" . Additional materials will be handed out and will be available for download from this web site. All lecture slides will be available for download from this web site as well, after class.
GRADING
There will be 4 programming assignments where you will have to implement some of the algorithms to be studied in class. You will also have to select, propose, and implement one algorithm as a final project. The algorithm chosen for the final project could be novel, selected from the recent literature. There will not be homework assignments other than the programming assignments and the final roject. Class attendance and participation in the class discussions is mandatory, and will contribute to the final grade. The final project will contribute 30% to the final grade, the four programming assignments will contribute 15% each to the final grade. Class participation will contribute the remaining 10%.