Computer vision lecture notes

  • Applications of computer vision

    Computer Vision: Alg

  • Image recognition.
    This involves teaching computers to recognize and classify objects, people, and other visual features in images.
    Image recognition has many practical applications, including facial recognition technology, medical image analysis, and self-driving cars.
  • What is the path of learning for computer vision engineer? A.
    Becoming a computer vision engineer involves mastering math fundamentals, learning programming (Python), exploring libraries like OpenCV, and progressing to machine learning and deep learning, all while gaining hands-on experience.
Introduction of techniques from machine learning and statistics (complex, data-driven mod- els and algorithms). Computer graphics: representation of a 3D scene 

Why do you want to release computer vision lectures?

Computer Vision is considered to be an advanced topic.
As such, it tends to be available only to students at well-established institutions of learning.
My interest in releasing these lectures is to make the material available to talented young minds who, due to their circumstances, may not have access to courses on the topic.


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