Learning Outcomes

In this free course, you will learn how to:

• Discuss the fundamentals of image processing
• Outline the principles involved in projective geometry and homography
• Compute projection camera matrices
• Explain the concepts in epipolar geometry
• Summarize the techniques involved in feature detection and description
• Analyze the frameworks for feature matching and model fitting
• Discuss the principles and techniques involved in colour representation
• Explain the procedures for computing range data
• Discuss the approaches to image classification
• Outline the applications of principal component analysis
• Identify the features of deep neural architecture