ENGN 1610 - Image Understanding | Computer Vision @ LEMS

Instructor: Benjamin Kimia (kimia@lems.brown.edu)
Time: Monday, Wednesday, & Friday 2:00 to 2:50
Place: Barus & Holley 155
TA Maruthi Narayanan (maruthi_narayanan@brown.edu)

Image processing is a technology experiencing explosive growth; it is central to medical image analysis and transmission, industrial inspection, image enhancement, indexing into pictorial and video databases, e.g. WWW, and to robotic vision, face recognition, and image compression. This senior-level undergraduate course covers theoretical underpinnings of this field and includes a series of practical MATLAB image processing projects.

This course is aimed at senior undergraduate and graduate students from a variety of disciplines including Engineering, Computer Science, Applied Mathematics, Physics, Cognitive Science and Neuroscience, with some knowledge of Advanced Calculus, Fourier Series, and some MATLAB programming.

Tentative Course Outline

Image Fundamentals - Human Vision, Color, Sampling
Image Editing Algorithms - Smoothing, Enhancement, Warping
Image Features - Edges, Regions, Interest Points
Image Segmentation Algorithms
Optical Flow/Tracking
Object Detection/Recognition

Suggested Test Book

Computer Vision: Algorithms and Applications, Richard Szeliski