Engineering and Technology
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.
by Udacity
This course provides an introduction to computer vision including fundamentals, methods for applicat...
by Udacity
Learn the in-demand skills of computer vision, a growing field of AI, that empower advancements in r...
by Udacity
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
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Learn the basic concepts in theoretical computer science. Discover what they imply for solving tough...
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by Udacity
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