People Innovation Excellence
 

COMPUTER VISION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe the computational principles underlying various application of Computer Vision Systems; Explain the various standard procedures of image preprocessing prior to image analysis; Select and extract different image features required for various application of Computer Vision Systems; Construct reliable and accurate Computer Vision Systems for solving various image based industrial problems.

Topics:

  1. Introduction to Computer Vision;
  2. Image Formation: Geometric Camera Models;
  3. Image Formation: Light and Color;
  4. Linear Filters;
  5. Edge Detection;
  6. Image Feature;
  7. Image Segmentation I;
  8. Image Segmentation II;
  9. Structure from motion;
  10. Recognition I;
  11. Recognition II;
  12. Project Presentation.

Published at : Updated

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