Learn how to detect edges and corners in images.

Develop active contours (snakes) to find complex object boundaries.

Learn about the Hough Transform for finding simple parametric shapes in images.

Learn about image transformations and how to estimate the homography between two images.

Learn radiometric concepts related to light and how it interacts with scenes.

Understand reflectance models and the different physical mechanisms that determine the appearance of a surface.

Develop a method for recovering the shape of a surface from its shading.

Understand the principle of photometric stereo where a dense surface normal map of the scene is obtained by varying the illumination direction.

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.

Design algorithms for detecting meaningful changes in a scene

Develop methods for tracking objects in a video while the object undergoes changes in pose and illumination

Learn several approaches to segmenting an image into meaningful regions

Create an end-to-end pipeline for learning and recognizing objects based on their visual appearance