Instructor: Ahmed Elgammal -- email: elgammal - cs
Office: Core 316
Office hours: Friday noon-1pm
Regular class time: Monday 1:40-4:40pm CBIM 22
CBIM is located: http://rumaps.rutgers.edu/location/cbim-modular-building
Class TA: Polina Yanovich – email yanovich as cs.rutgers.edu
TA office hours: Tuesday 10:30am-11:30am at Hill 266
This is a basic graduate-level computer vision course that intends to cover a variety of fundamental computer vision topics to get you acquainted with the field.
Image Formation: Cameras, Geometric camera models, Calibration, Radiometry, Color.
Early Vision: Linear filters, Edge detection, Local Features, Texture, Geometry of multiple views.
Mid-level Vision: Motion, Segmentation, and Tracking.
High-Level Vision: Model-based vision, Pose estimation, Appearance-based vision, Object recognition.
Linear algebra and basic statistics.
Familiarity with Matlab programming
Most of the topics of the class are covered comprehensively in the following two textbooks
"Computer Vision: A Modern Approach" - Second Edition
By David Forsyth and Jean Ponce
Prentice Hall 2012
“Computer Vision Algorithms and Application”
By Richard Szeliski
§ Homework assignments: (60%) 4 assignments, which contain Matlab programming.
§ Quizzes (15%)