Apr 19, 2024  
2017-2018 Undergraduate Catalog 
    
2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

CS 442 - Computer Vision (Put on reserve 9/16/15.)


Description:
Computer vision includes image acquisition, preprocessing, segmentation (thresholding, edge- and region-based segmentation), shape representation, object recognition, motion analysis, object tracking, and 3-D scene reconstruction. Put on reserve 9/16/15. Will go inactive 8/24/18.

Prerequisites:
Prerequisite: CS 302.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Explain the image formation process.
  • Demonstrate various segmentation approaches, and ha able to detail their characteristics, differences, strengths, and weaknesses.
  • Describe and apply object recognition based on contour- and region-based shape representations.
  • Explain differential motion analysis methods.
  • Describe and apply the differences in object tracking methods.
Learner Outcomes Approval Date:
3/05/07



Add to Portfolio (opens a new window)