An introduction to the concepts of 2D and 3D computer vision. Topics include:
low-level image processing methods such as filtering and edge detection;
segmentation and clustering; optical flow and tracking; shape reconstruction
from stereo, motion, texture, and shading. Throughout the course, we also
look at aspects of human vision and perception that guide and inspire computer
vision techniques.
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<B>Prerequisites:</b> Prerequisites for the course are COS 217 and COS 226.
The course will require programming (in C, C++, and/or Matlab), as well as
some background in data structures and linear algebra. Experience with signal
processing, statistics, and/or computer graphics is useful but not necessary.