Introduction to Computer Vision

Free Course
16 weeks duration

This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification.

Introduction to Computer Vision is a comprehensive course on Udacity that covers various aspects of computer vision. The course begins with an introduction to image processing, including linear image processing and model fitting. It then delves into frequency domain analysis and camera models, covering topics such as stereo geometry and camera calibration. The course also explores image features, including feature detection and descriptors, as well as lighting and photometry. Image motion is another important topic, with lessons on optical flow and tracking. The course also covers classification and recognition, including generative and discriminative models, as well as action recognition. Useful methods such as color spaces and segmentation, binary morphology, and 3D perception are also discussed. Finally, the course provides an overview of the human visual system, including the retina and vision in the brain.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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