Computer Vision and Image Processing – Fundamentals and Applications

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Computer Vision (CV) and Image Processing – Fundamentals and Applications

This course intends to familiarize the students to explain the fundamental concepts/issues of (CV) and Image Processing, and major approaches that address them. This course provides an introduction to (CV) including image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, the concept of feature extraction and selection for pattern classification/recognition, and advanced concepts like motion estimation and tracking, image classification, scene understanding, object classification and tracking, image fusion, and image registration, etc.

This course will cover the fundamentals of Computer Vision. It is suited for main students who are interested in researching the area of (CV). After completing the course, the students may expect to have the knowledge needed to read and understand more advanced topics and current research literature, and the ability to start working in industry or academic research in the field of Computer Vision and Image Processing. They can also apply all these concepts to solve real-world problems.

INTENDED AUDIENCE: UG, PG, and Ph.D. students
Show More

What Will You Learn?

  • Learn the basics of Computer Vision and Image Processing

Course Content

Computer Vision and Image Processing – Fundamentals and Applications

  • Computer Vision and Image Processing – Fundamentals and Applications [Intro Video]
    00:00
  • Lec 12 : Image Transforms – II
    00:00
  • Lec 11 : Image Transforms – I
    00:00
  • Lec 10 : Image Reconstruction from a Series of Projections
    00:00
  • Lec 9 : Image Reconstruction from a Series of Projections
    42:44
  • Lec 8 : Image Formation in a Stereo Vision Setup
    00:00
  • Lec 7 : Image Formation: Geometric Camera Model – III
    00:00
  • Lec 6 : Image Formation: Geometric Camera Model – II
    00:00
  • Lec 5 : Image Formation: Geometric Camera Models – I
    00:00
  • Lec 4 : Shape From Shading
    00:00
  • Lec 3 : Image Formation: Radiometry
    00:00
  • Lec 2 : Introduction to Digital Image Processing
    00:00
  • Lec 1 : Introduction to Computer Vision
    00:00
  • Lec 13 : Image Transforms – III
    00:00

Student Ratings & Reviews

No Review Yet
No Review Yet
Each day we give 100 Discount Coupons to the first 100 new visitors to our website. To benefit from this offer, use this code 1DF835024E during your orders to get 20% OFF
This is default text for notification bar