COM S 664: Machine Vision

Cross-Listing: Not cross-listed.

An introduction to computer vision with an emphasis on discrete optimization algorithms and on applications in medical imaging. The following topics will be covered: edge detection, image segmentation, stereopsis, motion and optical flow, active contours, and the Hausdorff distance. Students will be required to implement several of the algorithms covered in the course and do a final project.

Offered: Fall only

Prerequisites: Undergraduate-level understanding of algorithms and MATH 221 or equivalent.

Grade options: Letter or S/U

Credit hours: 4

Recent offerings:

• http://www.cs.cornell.edu/courses/cs664/2005fa
  • Ramin Zabih
• http://www.cs.cornell.edu/courses/cs664/2004fa
  • Ramin Zabih
• http://www.cs.cornell.edu/courses/cs664/2003fa
  • Dan Huttenlocher