First Principles of Computer Vision Specialization

Master the First Principles of Computer Vision. Advance the mathematical and physical algorithms empowering computer vision

Instructor: Shree Nayar

What you'll learn

  •   Master the working principles of a digital camera and learn the fundamentals of imaging processing
  •   Create a theory of feature detection and develop algorithms for extracting features from images
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  •   Explore novel methods for using visual cues (shading, defocus, etc.) to recover the 3D shape of an object from multiple images or viewpoints
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  •   Get exposed to fundamental perceptions tasks such as image segmentation, object tracking, and object recognition
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    • Skills you'll gain

  •   Color Theory
  •   Virtual Reality
  •   Artificial Neural Networks
  •   Graph Theory
  •   Electronic Components
  •   Photography
  •   Machine Learning Algorithms
  •   Computer Graphics
  •   3D Modeling
  •   Unsupervised Learning
  •   Algorithms
  •   Dimensionality Reduction

    • Specialization - 5 course series

    Features and Boundaries

    3D Reconstruction - Single Viewpoint

    3D Reconstruction - Multiple Viewpoints

    Visual Perception

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