Intelligent Image and Graphics Processing


This course introduces the basic principles and methods of machine learning for graphics and images, the applications for intelligent navigation and guidance of unmanned aerial vehicle. The main contents include models of machine learning, learning, and optimal inference, application of machine learning for segmentation, target identification/tracking/classification for graphics and images, and 3D reconstruction, etc. In addition, examples are provided for better understanding the application of method and theory to solve practical problems. The teaching methods of this course include theoretical teaching, discussion of system design and experiments.



The slides of this course can be download at: (It should be note that some of the slides are from network.)

Learning Materials (Awesome Series)

Some excellent lectures are listed below:

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