Ementorhub

What you'll learn

Develop a comprehensive model of a camera and learn how to calibrate a camera by estimating its parameters.

Develop a simple stereo system that uses two cameras of known configuration to estimate the 3D structure of a scene.

Design an algorithm for recovering both the structure of the scene and the motion of the camera from a video.

Develop optical flow algorithms for estimating the motion of points in a video sequence.

Skills you'll gain

Linear Algebra

Virtual Reality

Image Analysis

Computer Vision

Computer Graphics

Visualization (Computer Graphics)

There are 5 modules in this course

Next, we focus on the problem of dynamic scenes. Given two images of a scene that includes moving objects, we show how the motion of each point in the image can be computed. This apparent motion of points in the image is called optical flow. Optical flow estimation allows us to track scene points over a video sequence. Next, we consider the video of a scene shot using a moving camera, where the motion of the camera is unknown. We present structure from motion that takes as input tracked features in such a video and determines not only the 3D structure of the scene but also how the camera moves with respect to the scene. The methods we develop in the course are widely used in object modeling, 3D site modeling, robotics, autonomous navigation, virtual reality and augmented reality.

Camera Calibration

Uncalibrated Stereo

Optical Flow

Structure from Motion