Stanford AI Course Videos for Robotics and Vision

Computer Vision

• Image Formation
• Perspective Projection
• Vanishing Points
• Vanishing Points Question
• Vanishing Points Answer
• Lenses
• Computer Vision
• Invariance Question A
• Invariance Answer A
• Invariance Question B
• Invariance Answer B
• Invariance Question C
• Invariance Answer C
• Invariance Question D
• Invariance Answer D
• Invariance Question E
• Invariance Answer E
• Final Invariance Type
• Importance of Invariance
• Greyscale Images
• Extracting Features
• Extracting Features Question
• Extracting Features Answer
• Linear Filter
• Horizontal Edge Question
• Horizontal Edge Answer
• Vertical Filter Question
• Filter Results
• Gradient Images
• Canny Edge Detector
• Reasons for Gaussian Kernels

3D Vision

• Introduction
• Depth Question
• Depth Answer
• Stereo
• Stereo Question
• Stereo Answer
• Solving for Depth

Robotics

• Autonomous Vehicle Intro 1
• Autonomous Vehicle Intro 2
• Robotics Introduction
• Robotics Question
• Robotics Answer
• Kinematic Question 1
• Kinematic Answer 1
• Kinematic Question 2
• Kinematic Answer 2
• Dynamic Question
• Dynamic Answer
• Helicopter Question 1
• Helicopter Answer 1
• Helicopter Question 2
• Helicopter Answer 2
• Localization
• Motion Model Question
• Motion Model Answer