Computer vision lectures ppt

What do you learn in a computer vision course?

The topics include:

  • mathematical models for discrete-time signals
  • vector spaces
  • Fourier analysis
  • time-frequency analysis
  • Z-transforms and filters
  • signal classification and prediction
  • basic image processing
  • compressed sensing and deep learning.
    This class will culminate in a final project.
    • ,

    What is computer vision & how does it work?

    It focuses on looking at the world through multiple images or videos and reconstructing properties like the shape of objects, intensity, color distributions, etc.
    Recent advancements in the field of deep learning are enabling computer vision methods to understand and automate tasks that the human visual system can do.


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